Pat Kumar

2.6k citations
32 papers · 2.3k · h-index 21

Impact in

Papers in

Pat Kumar

31 papers receiving 2.2k citations

Peers

Pat Kumar
Comparison fields: 5 of 104
  • Neurology 477
  • Developmental Neuroscience 114
  • Immunology and Allergy 124
  • Cancer Research 254
  • Cell Biology 292
Replace Razao Issa with:
Razao Issa United Kingdom
Margitta Elvers Germany
Zheng G. Zhang United States
Akiyoshi Uemura Japan
Edith Aguilar United States
Zhongshu Tang China
Wentian Yang United States
Shuyu Ren United States
Bing–Qiao Zhao China
Motohiro Nomura Japan
Pat Kumar relative to Razao Issa United Kingdom Razao Issa's profile →
Citations per field
00.5×1.5×2.1×
Razao Issa · 1×
Citations per year

Countries citing papers authored by Pat Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Pat Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002320
2 1997253
3 1996246
4 2000209
5 2003151
6 1997147
7 1999144
8 2006124
9
Insulin-like growth factor II and PAX3-FKHR cooperate in the oncogenesis of rhabdomyosarcoma.
199866
10 200365
11 200553
12 200746
13 199544
14 199944
15 200741
16
TNF alpha down-regulates CD105 expression in vascular endothelial cells: a comparative study with TGF beta 1.
200340
17 200640
18
Weibel-Palade bodies in endothelial cells as a marker for angiogenesis in brain tumors.
198039
19 199835
20 200432

About Pat Kumar

Pat Kumar is a scholar working on Immunology and Allergy, Cancer Research, Molecular Biology, Cell Biology and Neurology, having authored 32 papers that have together received 2.3k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (14 papers), Cell Adhesion Molecules Research (7 papers), Proteoglycans and glycosaminoglycans research (5 papers), TGF-β signaling in diseases (4 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Fibroblast Growth Factor Research (2 papers), Connective tissue disorders research (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Neurology (477 citations), Developmental Neuroscience (114 citations), Immunology and Allergy (124 citations), Cancer Research (254 citations) and Cell Biology (292 citations). Pat Kumar has collaborated with scholars based in United Kingdom, Spain and Poland. Frequent co-authors include Shant Kumar, Jerzy Krupiński, Razao Issa, MARK A. SLEVIN, Józef Kałuza, Chenggang Li, Carmelo Bernabéu, IAN N. HAMPSON, Andrej Tarkowski and Anders Wallin. Their work appears in journals such as International Journal of Cancer, Stroke, Brain Pathology, Clinical Science and Pathobiology.

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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