D.S. Tewari

604 citations
21 papers · 507 · h-index 12

Impact in

Papers in

D.S. Tewari

21 papers receiving 497 citations

Peers

D.S. Tewari
Comparison fields: 5 of 68
  • Hepatology 53
  • Periodontics 25
  • Molecular Biology 336
  • Endocrinology, Diabetes and Metabolism 73
  • Cancer Research 48
Replace Jun Seop Yun with:
Jun Seop Yun South Korea
T Fukuda Japan
T Seguchi Japan
Sascha Hagemann Germany
Terry L. Woodward United States
Diane Hamel Canada
J E Darnell United States
Lisa K. Mullany United States
J. Leung-Tack France
Tsung‐Sheng Su Taiwan
D.S. Tewari relative to Jun Seop Yun South Korea Jun Seop Yun's profile →
Citations per field
00.5×6.3×
Jun Seop Yun · 1×
Citations per year

Countries citing papers authored by D.S. Tewari

Since Specialization
Citations

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

Fields of papers citing papers by D.S. Tewari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199199
2 199394
3 198967
4 198653
5 199434
6 199120
7 198318
8 199617
9 198617
10 200015
11 198714
12 198411
13 198611
14 19858
15 19917
16 19986
17 19985
18 19834
19 19823
20 19852

About D.S. Tewari

D.S. Tewari is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Ecology, Cancer Research and Oncology, having authored 21 papers that have together received 507 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (12 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), RNA modifications and cancer (5 papers), Bacteriophages and microbial interactions (4 papers), Protease and Inhibitor Mechanisms (3 papers), RNA Research and Splicing (3 papers), Oral and gingival health research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Hepatology (53 citations), Periodontics (25 citations), Molecular Biology (336 citations), Endocrinology, Diabetes and Metabolism (73 citations) and Cancer Research (48 citations). D.S. Tewari has collaborated with scholars based in United States, India and Czechia. Frequent co-authors include Rebecca Taub, Kenneth Mohn, Robert R. Traut, David M. Cook, Anna E. Melby, Thomas M. Laz, Andreas Sommer, Dohn G. Glitz, Bishwajit Nag and D.P. Burma. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Archives of Oral Biology, Phytomedicine and Cytokine.

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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