Subhash Varma

477 citations
25 papers · 277 · h-index 9

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Multiple Myeloma Research and Treatments
    • Amoebic Infections and Treatments
    • Parvovirus B19 Infection Studies
    • Viral Infections and Vectors

Papers in

    • Multiple Myeloma Research and Treatments 3
    • Hematopoietic Stem Cell Transplantation 2
    • Acute Myeloid Leukemia Research 2
    • Chronic Lymphocytic Leukemia Research 4

Subhash Varma

22 papers receiving 263 citations

Peers

Subhash Varma
Comparison fields: 5 of 52
  • Hematology 78
  • Infectious Diseases 103
  • Genetics 30
  • Emergency Medicine 21
  • Dermatology 20
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Dragan Mićić Serbia
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Tsung‐Yen Chang Taiwan
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Kiriko Terasako Japan
Barbara Newton United States
Miguel Ortín United Kingdom
Hack-Ki Kim South Korea
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Citations per year

Countries citing papers authored by Subhash Varma

Since Specialization
Citations

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

Fields of papers citing papers by Subhash Varma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201055
2 200542
3 200634
4 201520
5 201920
6 201416
7 202014
8 201712
9 200211
10 20147
11 20137
12 20156
13 20015
14 20165
15 20085
16 20185
17 20184
18 20203
19 20143
20
Study of diagnostic and prognostic parameters (including flow cytometry) in chronic lymphoproliferative disorders: the Indian perspective.
20091

About Subhash Varma

Subhash Varma is a scholar working on Hematology, Genetics, Infectious Diseases, Surgery and Dermatology, having authored 25 papers that have together received 277 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), Multiple Myeloma Research and Treatments (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Acute Myeloid Leukemia Research (2 papers), Mosquito-borne diseases and control (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Autoimmune and Inflammatory Disorders (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). The work is most often cited by research in Hematology (78 citations), Infectious Diseases (103 citations), Genetics (30 citations), Emergency Medicine (21 citations) and Dermatology (20 citations). Subhash Varma has collaborated with scholars based in India, Belgium and United States. Frequent co-authors include Neelam Varma, Pankaj Malhotra, Radha Kanta Ratho, Aman Sharma, Anupam Lal, Navneet Sharma, Virendra Singh, Navneet Sharma, Baijayantimala Mishra and Mini P. Singh. Their work appears in journals such as Journal of Gastroenterology and Hepatology, Blood, Blood Advances, JCO Global Oncology and Journal of Emergency Medicine.

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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