Shubham Kumar

781 citations
47 papers · 538 · h-index 10

Impact in

Papers in

Shubham Kumar

37 papers receiving 526 citations

Peers

Shubham Kumar
Comparison fields: 5 of 113
  • Organic Chemistry 198
  • Endocrinology, Diabetes and Metabolism 102
  • Pharmacology 67
  • Biochemistry 21
  • Molecular Biology 213
Replace Francesca Annunziata with:
Francesca Annunziata Italy
Amit K. Keshari India
Maha A. Aldubayan Saudi Arabia
Neetu Agrawal India
Biyun Huang China
C. Pinna Italy
Md Sayeed Akhtar Saudi Arabia
Anu Mittal India
Ashish Patel India
Shubham Kumar relative to Francesca Annunziata Italy Francesca Annunziata's profile →
Citations per field
00.5×
Francesca Annunziata · 1×
Citations per year

Countries citing papers authored by Shubham Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Shubham Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020121
2 202086
3 202068
4 201838
5 202138
6 200930
7 202128
8 201823
9 202016
10 20209
11 20237
12 20197
13 20247
14 20246
15 20245
16 20125
17 20194
18 20253
19 20213
20 20243

About Shubham Kumar

Shubham Kumar is a scholar working on Organic Chemistry, Molecular Biology, Computational Theory and Mathematics, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 47 papers that have together received 538 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Synthesis and biological activity (8 papers), Diabetes Treatment and Management (6 papers), Click Chemistry and Applications (6 papers), Natural Antidiabetic Agents Studies (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Pharmacological Effects of Natural Compounds (3 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Organic Chemistry (198 citations), Endocrinology, Diabetes and Metabolism (102 citations), Pharmacology (67 citations), Biochemistry (21 citations) and Molecular Biology (213 citations). Shubham Kumar has collaborated with scholars based in India, Iraq and Saudi Arabia. Frequent co-authors include Vikramdeep Monga, Amit Mittal, Shalini Jaswal, Anu Mittal, Dinesh Babu, B.N. Singh, Gurpreet Singh, Gopal L. Khatik, Subhasis Banerjee and Priyankar Paira. Their work appears in journals such as Bioorganic Chemistry, Inflammation Research, Mini-Reviews in Medicinal Chemistry, Current Diabetes Reviews and ChemistryOpen.

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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