G.R. Pathare

906 citations
8 papers · 676 indexed · h-index 6

Impact in

    • interferon and immune responses
    • Ubiquitin and proteasome pathways
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

G.R. Pathare

8 papers receiving 673 citations

Peers

G.R. Pathare
Comparison fields: 5 of 61
  • Immunology 184
  • Molecular Biology 545
  • Aging 12
  • Cell Biology 110
  • Oncology 89
Replace Michael Tellier with:
Michael Tellier United Kingdom
Lukasz S. Borowski Poland
Hanze Wang China
Carol Shiels United Kingdom
Antoine Simoneau United States
David Y. Rhee United States
Katharina Hötte Germany
Tobias Hohenauer Germany
Ramya Lakshminarayan United Kingdom
Jean-Philippe Belzile Canada
G.R. Pathare relative to Michael Tellier United Kingdom Michael Tellier's profile →
Citations per field
00.5×5.5×
Michael Tellier · 1×
Citations per year

Countries citing papers authored by G.R. Pathare

Since Specialization
Citations

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

Fields of papers citing papers by G.R. Pathare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.R. Pathare. 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 G.R. Pathare. The network helps show where G.R. Pathare may publish in the future.

Co-authorship network

The 25 scholars most cited alongside G.R. Pathare, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G.R. Pathare Line = papers co-authored together G.R. Pathare links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2020192
2 2020156
3 20171
4 20155
5 2014107
6 201327
7 201259
8 2011129

About G.R. Pathare

G.R. Pathare is a scholar working on Cell Biology, Complementary and alternative medicine, Oncology, Molecular Biology and Epidemiology, having authored 8 papers that have together received 676 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Peptidase Inhibition and Analysis (3 papers), Autophagy in Disease and Therapy (2 papers), interferon and immune responses (1 paper), Pluripotent Stem Cells Research (1 paper), RNA modifications and cancer (1 paper), CRISPR and Genetic Engineering (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Immunology (184 citations), Molecular Biology (545 citations), Aging (12 citations), Cell Biology (110 citations) and Oncology (89 citations). G.R. Pathare has collaborated with scholars based in Germany, Hungary and United States. Frequent co-authors include Joscha Weiss, Zuzanna Kozicka, Nicolas H. Thomä, Georg Kempf, Simone Cavadini, István Nagy, Wolfgang Baumeister, Friedrich Förster, Andreas Bracher and Kristina Makasheva. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature, Journal of Microbiological Methods, Science and Biochemical and Biophysical Research Communications.

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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