Anil Shukla

6.1k total citations · 1 hit paper
108 papers, 3.8k citations indexed

About

Anil Shukla is a scholar working on Spectroscopy, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Anil Shukla has authored 108 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Spectroscopy, 33 papers in Molecular Biology and 28 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Anil Shukla's work include Mass Spectrometry Techniques and Applications (59 papers), Advanced Chemical Physics Studies (21 papers) and Advanced Proteomics Techniques and Applications (18 papers). Anil Shukla is often cited by papers focused on Mass Spectrometry Techniques and Applications (59 papers), Advanced Chemical Physics Studies (21 papers) and Advanced Proteomics Techniques and Applications (18 papers). Anil Shukla collaborates with scholars based in United States, United Kingdom and India. Anil Shukla's co-authors include Jean H. Futrell, Richard Smith, Ronald Moore, A. J. Stace, Weijun Qian, Yufeng Shen, Ryan Kelly, Ying Zhu, Vladislav Petyuk and Rajesh K. Pandey and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Anil Shukla

104 papers receiving 3.8k citations

Hit Papers

Nanodroplet processing platform for deep and quantitative... 2018 2026 2020 2023 2018 100 200 300 400
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. Nanodroplet processing platform for deep and quantitative proteome profiling of 10–100 mammalian cells
    2018 417 citations Ying Zhu, Paul Piehowski et al. Nature Communications profile →

Peers

Anil Shukla
Christophe Masselon United States
Shenheng Guan United States
Stephen J. Valentine United States
Eduard Denisov Germany
Liam A. McDonnell Netherlands
Don L. Rempel United States
Michael W. Senko United States
Robert Bateman United Kingdom
Stevan Horning United States
U. Bahr Germany
Christophe Masselon United States
Anil Shukla
Citations per year, relative to Anil Shukla Anil Shukla (= 1×) peers Christophe Masselon

Countries citing papers authored by Anil Shukla

Since Specialization
Citations

This map shows the geographic impact of Anil Shukla'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 Anil Shukla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anil Shukla more than expected).

Fields of papers citing papers by Anil Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anil Shukla. 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 Anil Shukla. The network helps show where Anil Shukla may publish in the future.

Co-authorship network of co-authors of Anil Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Anil Shukla. A scholar is included among the top collaborators of Anil Shukla 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 Anil Shukla. Anil Shukla 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.
2.
Hagen, Live H., Charles Brooke, Claire Shaw, et al.. (2020). Proteome specialization of anaerobic fungi during ruminal degradation of recalcitrant plant fiber. The ISME Journal. 15(2). 421–434. 71 indexed citations
3.
Cuesta, Rafael, Marina Gritsenko, Vladislav Petyuk, et al.. (2019). Phosphoproteome Analysis Reveals Estrogen-ER Pathway as a Modulator of mTOR Activity Via DEPTOR. Molecular & Cellular Proteomics. 18(8). 1607–1618. 22 indexed citations
4.
Zhu, Ying, Paul Piehowski, Rui Zhao, et al.. (2018). Nanodroplet processing platform for deep and quantitative proteome profiling of 10–100 mammalian cells. Nature Communications. 9(1). 882–882. 417 indexed citations breakdown →
5.
Hurley, Jennifer, T. M. Finch, Jeremy Zucker, et al.. (2018). Circadian Proteomic Analysis Uncovers Mechanisms of Post-Transcriptional Regulation in Metabolic Pathways. Cell Systems. 7(6). 613–626.e5. 74 indexed citations
6.
Kramer, Philip, Jicheng Duan, Matthew Gaffrey, et al.. (2018). Fatiguing contractions increase protein S-glutathionylation occupancy in mouse skeletal muscle. Redox Biology. 17. 367–376. 61 indexed citations
7.
Shi, Tujin, Matthew Gaffrey, Thomas Fillmore, et al.. (2018). Facile carrier-assisted targeted mass spectrometric approach for proteomic analysis of low numbers of mammalian cells. Communications Biology. 1(1). 103–103. 17 indexed citations
8.
Stevens, Susan L., Tao Liu, Frances Rena Bahjat, et al.. (2018). Preconditioning in the Rhesus Macaque Induces a Proteomic Signature Following Cerebral Ischemia that Is Associated with Neuroprotection. Translational Stroke Research. 10(4). 440–448. 9 indexed citations
9.
Piehowski, Paul, Mowei Zhou, Grant M. Fujimoto, et al.. (2017). Informed-Proteomics: open-source software package for top-down proteomics. Nature Methods. 14(9). 909–914. 118 indexed citations
10.
Dautel, Sydney, Jennifer Kyle, Gérémy Clair, et al.. (2017). Lipidomics reveals dramatic lipid compositional changes in the maturing postnatal lung. Scientific Reports. 7(1). 40555–40555. 60 indexed citations
11.
Shen, Yufeng, Nikola Tolić, Paul Piehowski, et al.. (2017). High-resolution ultrahigh-pressure long column reversed-phase liquid chromatography for top-down proteomics. Journal of Chromatography A. 1498. 99–110. 53 indexed citations
12.
Burnum-Johnson, Kristin, Song Nie, Cameron Casey, et al.. (2016). Simultaneous Proteomic Discovery and Targeted Monitoring using Liquid Chromatography, Ion Mobility Spectrometry, and Mass Spectrometry. Molecular & Cellular Proteomics. 15(12). 3694–3705. 30 indexed citations
13.
Ahmad, Rumana, Carrie Nicora, Anil Shukla, et al.. (2016). An efficient method for native protein purification in the selected range from prostate cancer tissue digests. Chinese Clinical Oncology. 5(6). 78–78. 5 indexed citations
14.
Kronewitter, Scott, Ioan Marginean, Jonathan T. Cox, et al.. (2014). Polysialylated N-Glycans Identified in Human Serum Through Combined Developments in Sample Preparation, Separations, and Electrospray Ionization-Mass Spectrometry. Analytical Chemistry. 86(17). 8700–8710. 18 indexed citations
15.
Ansong, Charles, Corrie Ortega, Samuel Payne, et al.. (2013). Identification of Widespread Adenosine Nucleotide Binding in Mycobacterium tuberculosis. Chemistry & Biology. 20(1). 123–133. 42 indexed citations
16.
Ansong, Charles, Bobbie‐Jo Webb‐Robertson, Suereta Fortuin, et al.. (2013). Disparate Proteome Responses of Pathogenic and Nonpathogenic Aspergilli to Human Serum Measured by Activity-Based Protein Profiling (ABPP). Molecular & Cellular Proteomics. 12(7). 1791–1805. 6 indexed citations
17.
Burnum-Johnson, Kristin, Lindsey Anderson, Suereta Fortuin, et al.. (2012). Multiplexed Activity-based Protein Profiling of the Human Pathogen Aspergillus fumigatus Reveals Large Functional Changes upon Exposure to Human Serum. Journal of Biological Chemistry. 287(40). 33447–33459. 22 indexed citations
18.
Brown, Joseph N., Gabriel M. Ortiz, Thomas E. Angel, et al.. (2012). Morphine Produces Immunosuppressive Effects in Nonhuman Primates at the Proteomic and Cellular Levels. Molecular & Cellular Proteomics. 11(9). 605–618. 40 indexed citations
19.
Su, Dian, Anil Shukla, Baowei Chen, et al.. (2012). Quantitative site-specific reactivity profiling of S-nitrosylation in mouse skeletal muscle using cysteinyl peptide enrichment coupled with mass spectrometry. Free Radical Biology and Medicine. 57. 68–78. 62 indexed citations
20.
Shukla, Anil & Daniel C. McGillicuddy. (2008). Cardiac tamponade: a case report. Internal and Emergency Medicine. 3(4). 365–368.

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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