Ashish R. Kumar

7.8k citations
232 papers · 6.3k · h-index 43

Impact in

  • Hematology top 0.5%
    • Acute Myeloid Leukemia Research
    • Autoimmune and Inflammatory Disorders Research
    • Hematopoietic Stem Cell Transplantation
  • Immunology top 2%
    • Immunodeficiency and Autoimmune Disorders
    • Immune Cell Function and Interaction

Papers in

    • Acute Myeloid Leukemia Research 19
    • Autoimmune and Inflammatory Disorders Research 16
    • Immune Cell Function and Interaction 19

Ashish R. Kumar

219 papers receiving 6.2k citations

Peers

Ashish R. Kumar
Comparison fields: 5 of 163
  • Hematology 1.7k
  • Immunology 1.4k
  • Genetics 285
  • Infectious Diseases 391
  • Automotive Engineering 271
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Citations per field
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Citations per year

Countries citing papers authored by Ashish R. Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ashish R. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 232 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017357
2 2019276
3 2015260
4 2015185
5 2008178
6 2017135
7 2012120
8 2003112
9
FLT3 expressing leukemias are selectively sensitive to inhibitors of the molecular chaperone heat shock protein 90 through destabilization of signal transduction-associated kinases.
2003103
10 2006103
11 201597
12 202297
13 201794
14 201889
15 200887
16 201286
17 201475
18 201775
19 201774
20 201872

About Ashish R. Kumar

Ashish R. Kumar is a scholar working on Hematology, Immunology, Electrical and Electronic Engineering, Polymers and Plastics and Finance, having authored 232 papers that have together received 6.3k indexed citations. Recurring topics across this work include Wireless Power Transfer Systems (25 papers), Advanced DC-DC Converters (20 papers), Immune Cell Function and Interaction (19 papers), Conducting polymers and applications (19 papers), Acute Myeloid Leukemia Research (19 papers), Energy Harvesting in Wireless Networks (18 papers), Autoimmune and Inflammatory Disorders Research (16 papers) and Multilevel Inverters and Converters (16 papers). The work is most often cited by research in Hematology (1.7k citations), Immunology (1.4k citations), Genetics (285 citations), Infectious Diseases (391 citations) and Automotive Engineering (271 citations). Ashish R. Kumar has collaborated with scholars based in United States, India and France. Frequent co-authors include Khurram K. Afridi, Rajiv Prakash, Sreyam Sinha, John H. Kersey, Brandon Regensburger, Wendy A. Hudson, Saad Pervaiz, Quanzhi Li, Weili Chen and Daya Shankar Pandey. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, Pediatric Blood & Cancer, Journal of Clinical Immunology and RSC Advances.

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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