Gajanan Sathe

5.0k total citations
67 papers, 1.1k citations indexed

About

Gajanan Sathe is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Gajanan Sathe has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 14 papers in Oncology and 11 papers in Spectroscopy. Recurrent topics in Gajanan Sathe's work include Advanced Proteomics Techniques and Applications (11 papers), Peptidase Inhibition and Analysis (10 papers) and Ubiquitin and proteasome pathways (7 papers). Gajanan Sathe is often cited by papers focused on Advanced Proteomics Techniques and Applications (11 papers), Peptidase Inhibition and Analysis (10 papers) and Ubiquitin and proteasome pathways (7 papers). Gajanan Sathe collaborates with scholars based in India, United States and United Kingdom. Gajanan Sathe's co-authors include Akhilesh Pandey, Harsha Gowda, Thottethodi Subrahmanya Keshava Prasad, Santosh Renuse, Anil K. Madugundu, Abhay Moghekar, Ravi Sirdeshmukh, Marilyn Albert, Gopal P. Sapkota and Chan Hyun Na and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Neurochemistry.

In The Last Decade

Gajanan Sathe

66 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gajanan Sathe India 22 649 185 154 152 129 67 1.1k
Chia‐Wei Hsu Taiwan 21 834 1.3× 164 0.9× 236 1.5× 211 1.4× 295 2.3× 38 1.5k
Chia‐Jung Yu Taiwan 26 1.0k 1.6× 173 0.9× 221 1.4× 267 1.8× 292 2.3× 70 1.9k
Todd W. Markowski United States 18 410 0.6× 93 0.5× 42 0.3× 106 0.7× 51 0.4× 46 846
Guido Sauer Germany 16 869 1.3× 77 0.4× 73 0.5× 142 0.9× 75 0.6× 21 1.5k
Arun H. Patil India 17 511 0.8× 54 0.3× 53 0.3× 49 0.3× 219 1.7× 36 903
Hubert Stöppler United States 18 701 1.1× 136 0.7× 63 0.4× 254 1.7× 325 2.5× 31 1.3k
Jingqiu Cheng China 13 486 0.7× 74 0.4× 86 0.6× 123 0.8× 95 0.7× 65 988
Bernd Bonnekoh Germany 24 634 1.0× 78 0.4× 51 0.3× 313 2.1× 88 0.7× 96 1.8k
Ning Qu China 17 509 0.8× 93 0.5× 35 0.2× 60 0.4× 92 0.7× 62 1.1k

Countries citing papers authored by Gajanan Sathe

Since Specialization
Citations

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

Fields of papers citing papers by Gajanan Sathe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gajanan Sathe

This figure shows the co-authorship network connecting the top 25 collaborators of Gajanan Sathe. A scholar is included among the top collaborators of Gajanan Sathe 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 Gajanan Sathe. Gajanan Sathe 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.
Hellberg, Kristina, Katarzyna M. Luda, Joyceline Cuenco, et al.. (2026). AMPK promotes TFEB transcriptional activity through dephosphorylation at both MTORC1-dependent and -independent sites. Autophagy. 1–15.
2.
Kocatürk, Nur Mehpare, Jennifer Riley, Hannah J. Maple, et al.. (2025). Discovery of a CNS active GSK3 degrader using orthogonally reactive linker screening. Nature Communications. 16(1). 8857–8857. 1 indexed citations
3.
Honda, Tetsuro, Masakazu Sato, Makiko Nakahara, et al.. (2025). The TCF4 Gene Regulates Apoptosis of Corneal Endothelial Cells in Fuchs Endothelial Corneal Dystrophy. Investigative Ophthalmology & Visual Science. 66(3). 16–16. 1 indexed citations
4.
Nakasone, Mark A., Conner Craigon, Gajanan Sathe, et al.. (2024). Mechanism of degrader-targeted protein ubiquitinability. Science Advances. 10(41). eado6492–eado6492. 25 indexed citations
5.
Sathe, Gajanan, et al.. (2024). Mapping the substrate landscape of protein phosphatase 2A catalytic subunit PPP2CA. iScience. 27(3). 109302–109302. 5 indexed citations
6.
Dey, Gourav, Gajanan Sathe, Nupur Pruthi, et al.. (2023). Neuroanatomical zones of human traumatic brain injury reveal significant differences in protein profile and protein oxidation: Implications for secondary injury events. Journal of Neurochemistry. 167(2). 218–247. 4 indexed citations
7.
Sathe, Gajanan & Gopal P. Sapkota. (2023). Proteomic approaches advancing targeted protein degradation. Trends in Pharmacological Sciences. 44(11). 786–801. 30 indexed citations
8.
9.
Thakur, Gargi, Gajanan Sathe, Poonam Gautam, et al.. (2021). Membrane Interactome of a Recombinant Fragment of Human Surfactant Protein D Reveals GRP78 as a Novel Binding Partner in PC3, a Metastatic Prostate Cancer Cell Line. Frontiers in Immunology. 11. 600660–600660. 11 indexed citations
10.
Na, Chan Hyun, Gajanan Sathe, Liana S. Rosenthal, et al.. (2020). Development of a novel method for the quantification of tyrosine 39 phosphorylated α- and β-synuclein in human cerebrospinal fluid. Clinical Proteomics. 17(1). 13–13. 12 indexed citations
11.
Sathe, Gajanan, et al.. (2019). Targeted Proteomics as a Tool for Quantifying Urine-Based Biomarkers. Methods in molecular biology. 2051. 277–295. 3 indexed citations
12.
Sathe, Gajanan, Chan Hyun Na, Santosh Renuse, et al.. (2018). Phosphotyrosine profiling of human cerebrospinal fluid. Clinical Proteomics. 15(1). 29–29. 15 indexed citations
13.
Yelamanchi, Soujanya D., Manish Kumar, Anil K. Madugundu, et al.. (2016). Characterization of human pineal gland proteome. Molecular BioSystems. 12(12). 3622–3632. 6 indexed citations
14.
Sathe, Gajanan, Sneha M. Pinto, Nazia Syed, et al.. (2016). Phosphotyrosine profiling of curcumin-induced signaling. Clinical Proteomics. 13(1). 17 indexed citations
15.
Sathe, Gajanan, Anil K. Madugundu, Sharavan Ramachandran, et al.. (2016). Proteomic profiling of retinoblastoma by high resolution mass spectrometry. Clinical Proteomics. 13(1). 29–29. 29 indexed citations
16.
Radhakrishnan, Aneesha, Vishalakshi Nanjappa, Remya Raja, et al.. (2016). Dysregulation of splicing proteins in head and neck squamous cell carcinoma. Cancer Biology & Therapy. 17(2). 219–229. 25 indexed citations
17.
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
18.
Gupta, Manoj Kumar, Gajanan Sathe, Lavanya Balakrishnan, et al.. (2015). Human salivary proteome — a resource of potential biomarkers for oral cancer. Journal of Proteomics. 127(Pt A). 89–95. 68 indexed citations
19.
Pawar, Harsh, Srikanth S. Manda, Manoj Kumar Kashyap, et al.. (2015). Downregulation of S100 Calcium Binding Protein A9 in Esophageal Squamous Cell Carcinoma. The Scientific World JOURNAL. 2015(1). 325721–325721. 8 indexed citations
20.
Gupta, Manoj Kumar, Gajanan Sathe, Lavanya Balakrishnan, et al.. (2015). Data from human salivary proteome – A resource of potential biomarkers for oral cancer. Data in Brief. 4. 374–378. 19 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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