Akhilesh Pandey

61.1k total citations · 8 hit papers
502 papers, 31.6k citations indexed

About

Akhilesh Pandey is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Akhilesh Pandey has authored 502 papers receiving a total of 31.6k indexed citations (citations by other indexed papers that have themselves been cited), including 322 papers in Molecular Biology, 103 papers in Spectroscopy and 69 papers in Oncology. Recurrent topics in Akhilesh Pandey's work include Advanced Proteomics Techniques and Applications (101 papers), Mass Spectrometry Techniques and Applications (52 papers) and Glycosylation and Glycoproteins Research (41 papers). Akhilesh Pandey is often cited by papers focused on Advanced Proteomics Techniques and Applications (101 papers), Mass Spectrometry Techniques and Applications (52 papers) and Glycosylation and Glycoproteins Research (41 papers). Akhilesh Pandey collaborates with scholars based in United States, India and Denmark. Akhilesh Pandey's co-authors include Matthias Mann, Hanno Steen, Blagoy Blagoev, Shao‐En Ong, Irina Kratchmarova, Dan Bach Kristensen, Henrik Molina, Harsha Gowda, Jun Zhong and Thottethodi Subrahmanya Keshava Prasad and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Akhilesh Pandey

479 papers receiving 31.0k citations

Hit Papers

Stable Isotope Labeling by Amino Acids in Cell Culture, S... 2000 2026 2008 2017 2002 2000 2011 2001 2004 1000 2.0k 3.0k 4.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Stable Isotope Labeling by Amino Acids in Cell Culture, SILAC, as a Simple and Accurate Approach to Expression Proteomics
    2002 4.4k citations Akhilesh Pandey et al. profile →
  2. Proteomics to study genes and genomes
    2000 1.7k citations Akhilesh Pandey et al. profile →
  3. Pyruvate Kinase M2 Is a PHD3-Stimulated Coactivator for Hypoxia-Inducible Factor 1
    2011 1.2k citations Akhilesh Pandey et al. profile →
  4. Analysis of Proteins and Proteomes by Mass Spectrometry
    2001 843 citations Akhilesh Pandey et al. profile →
  5. Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression
    2004 789 citations Akhilesh Pandey et al. Proceedings of the National Academy of Sciences profile →
  6. Analysis of protein phosphorylation using mass spectrometry: deciphering the phosphoproteome
    2002 750 citations Akhilesh Pandey et al. profile →
  7. C9orf72 nucleotide repeat structures initiate molecular cascades of disease
    2014 730 citations Min‐Sik Kim, Akhilesh Pandey et al. profile →
  8. Homer1a drives homeostatic scaling-down of excitatory synapses during sleep
    2017 344 citations Graham H. Diering, Raja Sekhar Nirujogi et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Akhilesh Pandey United States 89 20.8k 7.8k 3.6k 3.2k 2.8k 502 31.6k
Jürgen Cox Germany 60 28.5k 1.4× 9.3k 1.2× 2.4k 0.7× 3.6k 1.1× 3.6k 1.3× 93 39.7k
Timothy D. Veenstra United States 88 17.3k 0.8× 7.4k 1.0× 2.4k 0.7× 4.2k 1.3× 2.0k 0.7× 401 28.5k
Steven A. Carr United States 108 31.7k 1.5× 9.2k 1.2× 4.0k 1.1× 5.4k 1.7× 3.5k 1.3× 372 44.4k
Kris Gevaert Belgium 83 14.9k 0.7× 3.3k 0.4× 2.4k 0.7× 3.4k 1.1× 1.7k 0.6× 429 22.3k
Junmin Peng United States 78 16.9k 0.8× 2.6k 0.3× 1.8k 0.5× 2.8k 0.9× 2.0k 0.7× 257 23.0k
Darryl Pappin United Kingdom 58 17.0k 0.8× 7.0k 0.9× 1.8k 0.5× 2.0k 0.6× 2.0k 0.7× 137 24.1k
Matthias Wilm Germany 73 26.1k 1.3× 7.5k 1.0× 1.3k 0.4× 2.0k 0.6× 3.0k 1.1× 124 36.5k
Alexey I. Nesvizhskii United States 66 20.0k 1.0× 10.1k 1.3× 2.4k 0.7× 1.7k 0.5× 1.6k 0.6× 228 26.6k
Anne‐Claude Gingras Canada 88 25.7k 1.2× 2.1k 0.3× 1.8k 0.5× 2.9k 0.9× 2.5k 0.9× 318 32.0k
Ole N. Jensen Denmark 86 19.3k 0.9× 9.9k 1.3× 1.2k 0.3× 2.0k 0.6× 1.4k 0.5× 356 27.4k

Countries citing papers authored by Akhilesh Pandey

Since Specialization
Citations

This map shows the geographic impact of Akhilesh Pandey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Akhilesh Pandey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akhilesh Pandey more than expected).

Fields of papers citing papers by Akhilesh Pandey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akhilesh Pandey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Akhilesh Pandey. The network helps show where Akhilesh Pandey may publish in the future.

Co-authorship network of co-authors of Akhilesh Pandey

This figure shows the co-authorship network connecting the top 25 collaborators of Akhilesh Pandey. A scholar is included among the top collaborators of Akhilesh Pandey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akhilesh Pandey. Akhilesh Pandey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhu, Yuan Xiao, Laura A. Bruins, Cecília Bonolo de Campos, et al.. (2025). Exploring BCL2 regulation and upstream signaling transduction in venetoclax resistance in multiple myeloma: potential avenues for therapeutic intervention. Blood Cancer Journal. 15(1). 10–10. 3 indexed citations
2.
Raja, Remya, Kiran K. Mangalaparthi, Anil K. Madugundu, et al.. (2025). Immunogenic cryptic peptides dominate the antigenic landscape of ovarian cancer. Science Advances. 11(8). eads7405–eads7405. 3 indexed citations
3.
Jain, Ankit, et al.. (2024). Identification of dysregulation of sphingolipids in retinoblastoma using liquid chromatography-mass spectrometry. Experimental Eye Research. 240. 109798–109798.
4.
Radenkovic, Silvia, et al.. (2024). Liposome-encapsulated mannose-1-phosphate therapy improves global N-glycosylation in different congenital disorders of glycosylation. Molecular Genetics and Metabolism. 142(2). 108487–108487. 8 indexed citations
5.
Balaya, Rex Devasahayam Arokia, Partho Sen, Roman M. Zenka, et al.. (2024). An integrative multi-omics analysis reveals a multi-analyte signature of pancreatic ductal adenocarcinoma in serum. Journal of Gastroenterology. 60(4). 496–511. 2 indexed citations
6.
Byeon, Seul Kee, Jin Yong Kim, Roman M. Zenka, et al.. (2024). Development of a Multiplexed Sphingolipids Method for Diagnosis of Inborn Errors of Ceramide Metabolism. Clinical Chemistry. 70(11). 1366–1374. 2 indexed citations
7.
Pandey, Akhilesh, et al.. (2023). Nanoengineered Zn-modified Nickel Sulfide (NiS) as a bifunctional electrocatalyst for overall water splitting. International Journal of Hydrogen Energy. 48(58). 21969–21980. 37 indexed citations
8.
Lin, Guang, et al.. (2022). Neuronal activity induces glucosylceramide that is secreted via exosomes for lysosomal degradation in glia. Science Advances. 8(28). eabn3326–eabn3326. 31 indexed citations
9.
Saraswat, Mayank, et al.. (2022). N‐glycoproteomics reveals distinct glycosylation alterations in NGLY1‐deficient patient‐derived dermal fibroblasts. Journal of Inherited Metabolic Disease. 46(1). 76–91. 12 indexed citations
10.
Pandey, Akhilesh, et al.. (2020). A Novel Missense Variant in PHF6 Gene Causing Börjeson-Forssman-Lehman Syndrome. Journal of Molecular Neuroscience. 70(9). 1403–1409. 7 indexed citations
11.
Shears, Melanie J., Raja Sekhar Nirujogi, Kristian E. Swearingen, et al.. (2019). Proteomic Analysis of Plasmodium Merosomes: The Link between Liver and Blood Stages in Malaria. Journal of Proteome Research. 18(9). 3404–3418. 24 indexed citations
12.
Diering, Graham H., Raja Sekhar Nirujogi, Richard H. Roth, et al.. (2017). Homer1a drives homeostatic scaling-down of excitatory synapses during sleep. Science. 355(6324). 511–515. 344 indexed citations breakdown →
13.
Kim, Min‐Sik, Elizabeth D. Thompson, Lanqing Huang, et al.. (2016). Using Quantitative Seroproteomics to Identify Antibody Biomarkers in Pancreatic Cancer. Cancer Immunology Research. 4(3). 225–233. 19 indexed citations
14.
Nanjappa, Vishalakshi, Santosh Renuse, Gajanan Sathe, et al.. (2015). Chronic exposure to chewing tobacco selects for overexpression of stearoyl-CoA desaturase in normal oral keratinocytes. Cancer Biology & Therapy. 16(11). 1593–1603. 28 indexed citations
15.
Wang, Qing, Raghothama Chaerkady, Jian Wu, et al.. (2011). Mutant proteins as cancer-specific biomarkers. Proceedings of the National Academy of Sciences. 108(6). 2444–2449. 128 indexed citations
16.
Feng, Xu, Raghothama Chaerkady, Christian Speck, et al.. (2010). Proteomic Profiling of Corneal Stroma in Keratoconus Patients. Investigative Ophthalmology & Visual Science. 51(13). 3477–3477. 1 indexed citations
17.
Li, Zhong, Jonathon D. Roybal, Raghothama Chaerkady, et al.. (2008). Identification of Secreted Proteins that Mediate Cell-Cell Interactions in an In vitro Model of the Lung Cancer Microenvironment. Cancer Research. 68(17). 7237–7245. 68 indexed citations
18.
Song, Dongweon, Raghothama Chaerkady, Aik Choon Tan, et al.. (2008). Antitumor activity and molecular effects of the novel heat shock protein 90 inhibitor, IPI-504, in pancreatic cancer. Molecular Cancer Therapeutics. 7(10). 3275–3284. 68 indexed citations
19.
Bhandari, Rashna, Adolfo Saiardi, Yousef Ahmadibeni, et al.. (2007). Protein pyrophosphorylation by inositol pyrophosphates is a posttranslational event. Proceedings of the National Academy of Sciences. 104(39). 15305–15310. 182 indexed citations
20.
Pandey, Akhilesh, Akhilesh Pandey, & F. Lewitter. (1999). Nucleotide sequence databases: a gold mine for biologists. Trends in Biochemical Sciences. 24(7). 276–280. 47 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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