Padmasini Kumar

2.0k citations
27 papers · 1.3k indexed · h-index 16

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

Padmasini Kumar

27 papers receiving 1.3k citations

Peers

Padmasini Kumar
Comparison fields: 5 of 90
  • Immunology 717
  • Oncology 492
  • Microbiology 99
  • Periodontics 54
  • Immunology and Allergy 60
Replace Inbal Mishalian with:
Inbal Mishalian Israel
Afsaneh Soruri Germany
Batya Isaacson Israel
Mariette Mohaupt Germany
Jonathan G. Lieber United States
Robert Kastelein United States
Y C Yang United States
Priyanka Sathe Australia
Lucia Schwarzfischer Germany
Roberto Carrió United States
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Citations per field
00.5×2.6×
Inbal Mishalian · 1×
Citations per year

Countries citing papers authored by Padmasini Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Padmasini Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001387
2 2006284
3 2009116
4 199653
5 200252
6 200348
7 201548
8 201143
9 201441
10 201637
11 201036
12
Corneal expression of the inflammatory mediator CAP37.
200235
13 200234
14 201024
15 200421
16 201416
17 201215
18 201514
19 201610
20 20167

About Padmasini Kumar

Padmasini Kumar is a scholar working on Biotechnology, Immunology and Allergy, Immunology, Cancer Research and Oncology, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Research and Treatments (8 papers), Immunotherapy and Immune Responses (8 papers), RNA Interference and Gene Delivery (7 papers), S100 Proteins and Annexins (6 papers), Cell Adhesion Molecules Research (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), CAR-T cell therapy research (3 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Immunology (717 citations), Oncology (492 citations), Microbiology (99 citations), Periodontics (54 citations) and Immunology and Allergy (60 citations). Padmasini Kumar has collaborated with scholars based in United States. Frequent co-authors include Thomas E. Van Dyke, Bali Pulendran, Christopher W. Cutler, Jacques Banchereau, Mansour Mohamadzadeh, H. Anne Pereira, John Nemunaitis, Neil Senzer, Beena O. Pappen and Phillip B. Maples. Their work appears in journals such as Molecular Therapy, Cancer Gene Therapy, Journal of Clinical Oncology, Microvascular Research 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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