Deepak Bhole

434 citations
11 papers · 345 indexed · h-index 7

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Complement system in diseases
    • Invertebrate Immune Response Mechanisms

Papers in

Deepak Bhole

10 papers receiving 341 citations

Peers

Deepak Bhole
Comparison fields: 5 of 67
  • Aging 109
  • Immunology 81
  • Cellular and Molecular Neuroscience 66
  • Hematology 37
  • Molecular Biology 192
Replace Katherine M. Lelli with:
Katherine M. Lelli United States
Tarja‐Leena Penttilä Finland
Joong‐Gook Kim South Korea
Ingo Büssing Switzerland
Silvia Prieto‐Sánchez Spain
Nisha Narayan Australia
Steven W. Criscione United States
Jacque-Lynne Johnson Canada
Vincent Liu United States
Joung‐Sun Park South Korea
Deepak Bhole relative to Katherine M. Lelli United States Katherine M. Lelli's profile →
Citations per field
00.5×1.5×2.5×
Katherine M. Lelli · 1×
Citations per year

Countries citing papers authored by Deepak Bhole

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Bhole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepak Bhole, 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 Deepak Bhole Line = papers co-authored together Deepak Bhole links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20090
2 20081
3 20081
4 200776
5 200679
6 200431
7 200430
8 20041
9 200340
10 200358
11 200128

About Deepak Bhole

Deepak Bhole is a scholar working on Aging, Hematology, Immunology, Neurology and Endocrinology, Diabetes and Metabolism, having authored 11 papers that have together received 345 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Diabetes Treatment and Management (2 papers), Complement system in diseases (2 papers), Pharmacology and Obesity Treatment (2 papers), CRISPR and Genetic Engineering (2 papers), Diabetes Management and Research (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Aging (109 citations), Immunology (81 citations), Cellular and Molecular Neuroscience (66 citations), Hematology (37 citations) and Molecular Biology (192 citations). Deepak Bhole has collaborated with scholars based in United States and Germany. Frequent co-authors include John Tower, Gary N. Landis, Gregory L. Stahl, Daniel Ford, Kevin R. Tozer, Michael J. Allikian, Nicholas Hoe, Lucy Lu, Kenneth C. Anderson and Klaus Podar. Their work appears in journals such as British Journal of Haematology, Immunobiology, Genetics, Genome biology and Mechanisms of Ageing and Development.

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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