Anup D. Shah

912 total citations
29 papers, 535 citations indexed

About

Anup D. Shah is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Anup D. Shah has authored 29 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Cell Biology and 5 papers in Physiology. Recurrent topics in Anup D. Shah's work include Metabolomics and Mass Spectrometry Studies (5 papers), Caveolin-1 and cellular processes (4 papers) and Advanced Proteomics Techniques and Applications (4 papers). Anup D. Shah is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (5 papers), Caveolin-1 and cellular processes (4 papers) and Advanced Proteomics Techniques and Applications (4 papers). Anup D. Shah collaborates with scholars based in Australia, United States and India. Anup D. Shah's co-authors include Ralf B. Schittenhelm, Cheng Huang, David Powell, Robert J. A. Goode, Michelle M. Hill, M. Elizabeth Sobhia, David Chen, Hirdesh Kumar, Kerry L. Inder and Melissa J. Davis and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Anup D. Shah

28 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anup D. Shah Australia 15 315 82 63 58 52 29 535
Tine Skovgaard Denmark 8 483 1.5× 64 0.8× 44 0.7× 31 0.5× 15 0.3× 12 650
Samridhi Sharma Australia 13 271 0.9× 22 0.3× 89 1.4× 48 0.8× 32 0.6× 31 549
Nigel Beaton Switzerland 10 239 0.8× 55 0.7× 78 1.2× 18 0.3× 14 0.3× 17 517
H. Koester Germany 8 368 1.2× 30 0.4× 70 1.1× 23 0.4× 13 0.3× 11 577
Anik Forest Canada 11 390 1.2× 36 0.4× 22 0.3× 25 0.4× 23 0.4× 21 586
Shuvadeep Maity India 12 409 1.3× 160 2.0× 13 0.2× 40 0.7× 29 0.6× 21 642
Bradley R. Webster United States 12 425 1.3× 64 0.8× 74 1.2× 31 0.5× 26 0.5× 23 806
Katalin Pintér United Kingdom 15 580 1.8× 114 1.4× 25 0.4× 59 1.0× 14 0.3× 23 769
Songjie Chen United States 8 210 0.7× 39 0.5× 18 0.3× 23 0.4× 24 0.5× 12 393
Joshua Haznedar United States 7 221 0.7× 23 0.3× 21 0.3× 28 0.5× 15 0.3× 12 426

Countries citing papers authored by Anup D. Shah

Since Specialization
Citations

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

Fields of papers citing papers by Anup D. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anup D. Shah. 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 Anup D. Shah. The network helps show where Anup D. Shah may publish in the future.

Co-authorship network of co-authors of Anup D. Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Anup D. Shah. A scholar is included among the top collaborators of Anup D. Shah 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 Anup D. Shah. Anup D. Shah 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.
Gurung, Shanti, Joel R. Steele, Ralf B. Schittenhelm, et al.. (2025). Potential Role of Menstrual Fluid‐Derived Small Extracellular Vesicle Proteins in Endometriosis Pathogenesis. Journal of Extracellular Vesicles. 14(3). e70048–e70048. 1 indexed citations
2.
3.
Shah, Anup D., Ralf B. Schittenhelm, Anabel Silva, et al.. (2024). Acute exercise‐induced release of innate immune proteins via small extracellular vesicles changes with aerobic fitness and age. Acta Physiologica. 240(3). e14095–e14095. 11 indexed citations
4.
Jacques, Macsue, Shanie Landen, Danielle Hiam, et al.. (2023). Methylome and proteome integration in human skeletal muscle uncover group and individual responses to high‐intensity interval training. The FASEB Journal. 37(10). e23184–e23184. 9 indexed citations
5.
Landen, Shanie, Macsue Jacques, Danielle Hiam, et al.. (2023). Sex differences in muscle protein expression and DNA methylation in response to exercise training. Biology of Sex Differences. 14(1). 56–56. 18 indexed citations
6.
Zhang, Haijian, et al.. (2023). Phospho-Analyst: An Interactive, Easy-to-Use Web Platform To Analyze Quantitative Phosphoproteomics Data. Journal of Proteome Research. 22(9). 2890–2899. 5 indexed citations
7.
Siddiqui, Ghizal, Amanda De Paoli, Christopher A. MacRaild, et al.. (2022). A new mass spectral library for high-coverage and reproducible analysis of the Plasmodium falciparum–infected red blood cell proteome. GigaScience. 11. 15 indexed citations
8.
Williamson, Sean A., Anup D. Shah, Roger G. Evans, et al.. (2022). Transcriptomic analysis of preovipositional embryonic arrest in a nonsquamate reptile (Chelonia mydas). Molecular Ecology. 31(16). 4319–4331. 4 indexed citations
9.
Shultz, Sandy R., Anup D. Shah, Cheng Huang, et al.. (2022). Temporal proteomics of human cerebrospinal fluid after severe traumatic brain injury. Journal of Neuroinflammation. 19(1). 291–291. 20 indexed citations
10.
Saedi, Ahmed Al, Zhiying Wang, Anup D. Shah, Marco Brotto, & Gustavo Duque. (2022). Comparative analysis of fat composition in marrow, serum, and muscle from aging C57BL6 mice. Mechanisms of Ageing and Development. 206. 111690–111690. 3 indexed citations
11.
Li, Rui, Anup D. Shah, Cheng Huang, et al.. (2022). An Integrated Multi-Omic Network Analysis Identifies Seizure-Associated Dysregulated Pathways in the GAERS Model of Absence Epilepsy. International Journal of Molecular Sciences. 23(11). 6063–6063. 13 indexed citations
12.
Wright, David, William T. O’Brien, Jesse Bain, et al.. (2020). Behavioral, axonal, and proteomic alterations following repeated mild traumatic brain injury: Novel insights using a clinically relevant rat model. Neurobiology of Disease. 148. 105151–105151. 33 indexed citations
13.
Huang, Cheng, Simon R. Foster, Anup D. Shah, et al.. (2020). Phosphoproteomic characterization of the signaling network resulting from activation of the chemokine receptor CCR2. Journal of Biological Chemistry. 295(19). 6518–6531. 14 indexed citations
14.
Shah, Anup D., Robert J. A. Goode, Cheng Huang, David Powell, & Ralf B. Schittenhelm. (2019). LFQ-Analyst: An Easy-To-Use Interactive Web Platform To Analyze and Visualize Label-Free Proteomics Data Preprocessed with MaxQuant. Journal of Proteome Research. 19(1). 204–211. 128 indexed citations
15.
Khanapur, Shivashankar, Soumen Paul, Anup D. Shah, et al.. (2014). Development of [18F]-Labeled Pyrazolo[4,3-e]-1,2,4- triazolo[1,5-c]pyrimidine (SCH442416) Analogs for the Imaging of Cerebral Adenosine A2AReceptors with Positron Emission Tomography. Journal of Medicinal Chemistry. 57(15). 6765–6780. 27 indexed citations
16.
Shah, Anup D., et al.. (2014). RaftProt: mammalian lipid raft proteome database. Nucleic Acids Research. 43(D1). D335–D338. 33 indexed citations
17.
Shah, Anup D., et al.. (2013). High-throughput virtual screening of phloroglucinol derivatives against HIV-reverse transcriptase. Molecular Diversity. 17(1). 97–110. 7 indexed citations
18.
Nagarajan, Subbiah, Arjun Pandian, N. Raaman, et al.. (2012). Stereoselective synthesis of sugar-based β-lactam derivatives: docking studies and its biological evaluation. Tetrahedron. 68(14). 3037–3045. 22 indexed citations
19.
Kumar, Hirdesh, Anup D. Shah, & M. Elizabeth Sobhia. (2011). Novel insights into the structural requirements for the design of selective and specific aldose reductase inhibitors. Journal of Molecular Modeling. 18(5). 1791–1799. 31 indexed citations
20.
Shah, Anup D., et al.. (2011). Induced fit binding of aldose reductase inhibitors to AKR1B10. Medicinal Chemistry Research. 21(7). 1245–1252. 3 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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