Peedikayil E. Thomas

2.9k citations
31 papers · 2.1k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Peedikayil E. Thomas

31 papers receiving 2.1k citations

Hit Papers

Myofibroblast Differentiation by Transforming Growth Factor-1 Is Dependent on Cell Adhesion and Integrin Signaling via Focal Adhesion Kinase 2003 · 508 citations
5082003202620102018100200300400500

Peers

Peedikayil E. Thomas
Comparison fields: 5 of 102
  • Immunology and Allergy 208
  • Nephrology 171
  • Rheumatology 269
  • Molecular Biology 1.2k
  • Oncology 359
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Citations per field
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Citations per year

Countries citing papers authored by Peedikayil E. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Peedikayil E. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peedikayil E. Thomas. 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 Peedikayil E. Thomas. The network helps show where Peedikayil E. Thomas may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20213
2 201811
3 201773
4 201448
5
Cloning and sequence analysis of outer membrane protein genes of pasteurella multocida serotype B:2
20132
6
PCR amplification and cloning of immunogenic region of CCTA gene of Clostridium chauvoei
20132
7 20134
8 201042
9 200759
10 200782
11 2004207
12
Myofibroblast Differentiation by Transforming Growth Factor-1 Is Dependent on Cell Adhesion and Integrin Signaling via Focal Adhesion Kinase
Hit paper breakdown →
2003508
13 200087
14 2000488
15 1997126
16 199721
17 199557
18 199573
19 199518
20 198825

About Peedikayil E. Thomas

Peedikayil E. Thomas is a scholar working on Nephrology, Immunology and Allergy, Developmental Biology, Rheumatology and Clinical Biochemistry, having authored 31 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (5 papers), Renal Diseases and Glomerulopathies (4 papers), Bone and Dental Protein Studies (4 papers), TGF-β signaling in diseases (3 papers), dental development and anomalies (3 papers), Cell Adhesion Molecules Research (3 papers), Neonatal Health and Biochemistry (2 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Immunology and Allergy (208 citations), Nephrology (171 citations), Rheumatology (269 citations), Molecular Biology (1.2k citations) and Oncology (359 citations). Peedikayil E. Thomas has collaborated with scholars based in United States, Canada and China. Frequent co-authors include M. Douglas Benson, Victor J. Thannickal, Renny T. Franceschi, Guozhi Xiao, Daniel Lee, Jeffrey C. Horowitz, Zongbin Cui, Eric S. White, Kun‐Liang Guan and Di Jiang. Their work appears in journals such as Journal of Biological Chemistry, Human Molecular Genetics, Connective Tissue Research, The Journal of Immunology and Journal of Pharmacology and Experimental Therapeutics.

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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