Sugandh Kumar

24 papers receiving 255 citations

Peers

Sugandh Kumar
Comparison fields: 5 of 75
  • Reproductive Medicine 34
  • Immunology 64
  • Health Informatics 3
  • Infectious Diseases 39
  • Cancer Research 27
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Varun Garg United States
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Citations per field
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Citations per year

Countries citing papers authored by Sugandh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sugandh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202132
2 201929
3 202026
4 202222
5 202120
6 202119
7 202216
8
5-fluorouracil induced cardiotoxicity in albino rats.
199615
9 202211
10 202311
11 202011
12
Isolation and characterisation of in vivo released 41 kDa mycobacterial antigen in pulmonary and bone and joint tuberculosis and its identification with H37Ra in vitro released antigen.
20037
13 20227
14 20226
15 20216
16 20235
17
A dot enzyme immunoassay for detection of IgM antibodies against phenolic glycolipid-I in sera from leprosy patients.
19874
18 20243
19 20223
20 20083

About Sugandh Kumar

Sugandh Kumar is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Epidemiology and Dermatology, having authored 28 papers that have together received 264 indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (7 papers), Sperm and Testicular Function (3 papers), Spondyloarthritis Studies and Treatments (3 papers), Computational Drug Discovery Methods (2 papers), Dermatology and Skin Diseases (2 papers), Tuberculosis Research and Epidemiology (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Reproductive Medicine (34 citations), Immunology (64 citations), Health Informatics (3 citations), Infectious Diseases (39 citations) and Cancer Research (27 citations). Sugandh Kumar has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Anshuman Dixit, Luna Samanta, Soumya Ranjan Jena, Sujata Kar, Pratima Kumari, Wilson Liao, Ravindra K. Gupta, Zhiming Huang, Gulam Hussain Syed and Geetanjali Agnihotri. Their work appears in journals such as British Journal of Cancer, Frontiers in Cell and Developmental Biology, Frontiers in Immunology, Journal of the American Academy of Dermatology and Clinical Cancer Research.

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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