T. S. Ravikumar

446 citations
15 papers · 368 · h-index 9

Impact in

Papers in

    • RNA and protein synthesis mechanisms 2
    • Ubiquitin and proteasome pathways 1
    • S100 Proteins and Annexins 1
    • RNA Interference and Gene Delivery 1
    • Surgical Sutures and Adhesives 1

T. S. Ravikumar

13 papers receiving 355 citations

Peers

T. S. Ravikumar
Comparison fields: 5 of 62
  • Immunology and Allergy 58
  • Oncology 92
  • Pulmonary and Respiratory Medicine 72
  • Molecular Biology 166
  • Cancer Research 27
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Citations per field
00.5×
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Citations per year

Countries citing papers authored by T. S. Ravikumar

Since Specialization
Citations

This map shows the geographic impact of T. S. Ravikumar'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 T. S. Ravikumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. S. Ravikumar more than expected).

Fields of papers citing papers by T. S. Ravikumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. S. Ravikumar. 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 T. S. Ravikumar. The network helps show where T. S. Ravikumar may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 199481
2
Expression of a Mr 32,000 laminin-binding protein messenger RNA in human colon carcinoma correlates with disease progression.
199071
3
Ubiquitin-ribosomal protein S27a gene overexpressed in human colorectal carcinoma is an early growth response gene.
199365
4
In vitro activation of irinotecan to SN-38 by human liver and intestine.
199950
5 198230
6 199228
7 198517
8 198910
9 19949
10
Resection of liver metastases: state of the art.
20023
11 20092
12 19951
13 20111
14 20240
15 20200

About T. S. Ravikumar

T. S. Ravikumar is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Oncology and Infectious Diseases, having authored 15 papers that have together received 368 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (2 papers), Ubiquitin and proteasome pathways (1 paper), S100 Proteins and Annexins (1 paper), Microtubule and mitosis dynamics (1 paper), Surgical Sutures and Adhesives (1 paper), RNA Interference and Gene Delivery (1 paper), Cancer Diagnosis and Treatment (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Immunology and Allergy (58 citations), Oncology (92 citations), Pulmonary and Respiratory Medicine (72 citations), Molecular Biology (166 citations) and Cancer Research (27 citations). T. S. Ravikumar has collaborated with scholars based in United States, India and Germany. Frequent co-authors include G Steele, Jiemin Wong, L B Chen, K Mafune, Ken‐ichi Mafune, Deepak Narayan, Gabriel G. Haddad, Madhvi B. Upender, M J Mahoney and Ahmad S. Teebi. Their work appears in journals such as Journal of Surgical Research, Circulation, World Journal of Surgery, Genomics and Journal of Clinical Oncology.

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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