Tapas Kumar Som

32 papers receiving 690 citations

Peers

Tapas Kumar Som
Comparison fields: 5 of 108
  • Molecular Medicine 150
  • Endocrinology 89
  • Applied Microbiology and Biotechnology 20
  • Genetics 204
  • Pediatrics, Perinatology and Child Health 115
Replace Carlos A. Rodríguez-Osorio with:
Carlos A. Rodríguez-Osorio Mexico
Sarah Gilbert United States
Stephanie DeLeon United States
Ede Nagy Germany
Suparna Chatterjee India
Roger Junges Norway
Kaifeng Wu China
Sarah L. McGuinness Australia
Wiessam Abu Ahmad Israel
Kévin Vervier United Kingdom
Tapas Kumar Som relative to Carlos A. Rodríguez-Osorio Mexico Carlos A. Rodríguez-Osorio's profile →
Citations per field
00.5×8.2×
Carlos A. Rodríguez-Osorio · 1×
Citations per year

Countries citing papers authored by Tapas Kumar Som

Since Specialization
Citations

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

Fields of papers citing papers by Tapas Kumar Som

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981282
2 201461
3 198361
4 201460
5 201660
6 201951
7 200829
8 201626
9 201522
10 201521
11 201711
12
Newborn Aides: an innovative approach in sick newborn care at a district-level special care unit.
20079
13 20119
14 20227
15 20245
16 20044
17 20223
18 20243
19 20223
20 20183

About Tapas Kumar Som

Tapas Kumar Som is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Pharmacology, having authored 36 papers that have together received 745 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Antibiotic Resistance in Bacteria (4 papers), Infant Development and Preterm Care (3 papers), Breastfeeding Practices and Influences (3 papers), Intestinal Malrotation and Obstruction Disorders (2 papers), Impact of Technology on Adolescents (2 papers) and Neonatal and Maternal Infections (2 papers). The work is most often cited by research in Molecular Medicine (150 citations), Endocrinology (89 citations), Applied Microbiology and Biotechnology (20 citations), Genetics (204 citations) and Pediatrics, Perinatology and Child Health (115 citations). Tapas Kumar Som has collaborated with scholars based in India, United States and Niger. Frequent co-authors include Jun-ichi Tomizawa, Gerald Selzer, T Itoh, Sulagna Basu, Saswati Datta, Anindya Kumar Saha, Somdatta Chatterjee, Subhasree Roy, Arun Singh and Avijit Hazra. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Pediatric Infectious Disease Journal, Cytometry Part B Clinical Cytometry, MicroRNA and European Journal of Clinical Microbiology & Infectious Diseases.

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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