Ashwini Kumar

1.7k total citations
31 papers, 908 citations indexed

About

Ashwini Kumar is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Ashwini Kumar has authored 31 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Hematology and 6 papers in Immunology. Recurrent topics in Ashwini Kumar's work include Acute Myeloid Leukemia Research (9 papers), Chronic Myeloid Leukemia Treatments (6 papers) and Immune Response and Inflammation (5 papers). Ashwini Kumar is often cited by papers focused on Acute Myeloid Leukemia Research (9 papers), Chronic Myeloid Leukemia Treatments (6 papers) and Immune Response and Inflammation (5 papers). Ashwini Kumar collaborates with scholars based in Finland, United States and India. Ashwini Kumar's co-authors include Caroline A. Heckman, S. F. Lowry, Kimmo Porkka, S M Coyle, Mika Kontro, Steve E. Calvano, Bhagwan Yadav, Xavier Wittebole, Stephen F. Lowry and David F. Jimenez and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.

In The Last Decade

Ashwini Kumar

30 papers receiving 884 citations

Peers

Ashwini Kumar
Comparison fields: 5 of 97
  • Molecular Biology 333
  • Hematology 268
  • Immunology 172
  • Epidemiology 98
  • Genetics 83
Replace Ju Gao with:
Ju Gao China
Bin Cai China
Nathan McLaughlin United States
Georgette L. Suidan United States
J. Steven Alexander United States
Jun Shimizu Japan
Stephan Seeliger Germany
Linjie Zhang China
Peter Schmid Germany
C G Becker United States
Ju Gao China View profile →
Citations per field, relative to Ashwini Kumar
Ashwini Kumar · 1×
Citations per year, relative to Ashwini Kumar
Ashwini Kumar · 1×

Countries citing papers authored by Ashwini Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ashwini Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashwini Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ashwini Kumar. A scholar is included among the top collaborators of Ashwini Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ashwini Kumar. Ashwini Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 9
2 38
3 19
4 106
5 41
6 30
7 66
8 44
9 1
10
Cardioprotective effect of the root extract of Hemidesmus indicus against doxorubicin -induced oxidative stress in mice
4
11
Preliminary phytochemical screening and Bioactivity of selected Indian Medicinal plants
2
12 10
13 38
14 111
15 1
16 21
17 36
18
HLA association and occurrence of autoantibodies in Asian-Indian patients with ulcerative colitis.
27
19 27
20 40

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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