Sanchit Kumar

30 papers receiving 237 citations

Peers

Sanchit Kumar
Comparison fields: 5 of 90
  • Emergency Medical Services 25
  • Health, Toxicology and Mutagenesis 32
  • Microbiology 12
  • Infectious Diseases 31
  • Critical Care and Intensive Care Medicine 7
Replace И. В. Демко with:
И. В. Демко Russia
Terumasa Miyamoto Japan
CR Meier United States
Nitin Goel India
Alexander Humberg Germany
Naijian Li China
Anatoly N. Mikerov United States
A. Di Franco Italy
Leslie T. Aiuto United States
Bei Mao China
Sanchit Kumar relative to И. В. Демко Russia И. В. Демко's profile →
Citations per field
00.5×3.4×
И. В. Демко · 1×
Citations per year

Countries citing papers authored by Sanchit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sanchit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201049
2 201832
3 202423
4 202217
5 202214
6 202012
7 202411
8 202210
9 20168
10 20178
11 20186
12 20205
13
Inhibition of cellular glutathione biosynthesis by rifampicin in Mycobacterium smegmatis.
19925
14 20234
15 20204
16 20204
17 20223
18 20223
19
Holt-Oram syndrome--from a family (report of 2 cases).
19813
20
Presence of gamma glutamyl transferase in Mycobacterium smegmatis.
19903

About Sanchit Kumar

Sanchit Kumar is a scholar working on Epidemiology, Rheumatology, Infectious Diseases, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 241 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Long-Term Effects of COVID-19 (3 papers), Bone and Dental Protein Studies (2 papers), Pneumonia and Respiratory Infections (2 papers), Respiratory viral infections research (2 papers), Foreign Body Medical Cases (1 paper), Respiratory Support and Mechanisms (1 paper) and Disaster Management and Resilience (1 paper). The work is most often cited by research in Emergency Medical Services (25 citations), Health, Toxicology and Mutagenesis (32 citations), Microbiology (12 citations), Infectious Diseases (31 citations) and Critical Care and Intensive Care Medicine (7 citations). Sanchit Kumar has collaborated with scholars based in India, United States and Georgia. Frequent co-authors include F. Perry Wilson, Surinder Kumar, T. K. Mandal, Sudhir Kumar Sharma, Sharma Mona, Ranu Gadi, Yu Yamamoto, Naveet Wig, Nihar R. Desai and Manish Soneja. Their work appears in journals such as Circulation Cardiovascular Quality and Outcomes, Infectious Disorders - Drug Targets, International Journal of Microbiology Research, Postgraduate Medical Journal and Expert Review of Respiratory Medicine.

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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