Subhash Varma
- Infectious Diseases top 2%
- Hematology top 5%
- Acute Myeloid Leukemia Research 17
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 30
- Otorhinolaryngology top 5%
- Emergency Medicine top 5%
- Hematological disorders and diagnostics 12
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- Lymphoma Diagnosis and Treatment 34
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- Acute Lymphoblastic Leukemia research 17
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- Eosinophilic Disorders and Syndromes 11
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- CNS Lymphoma Diagnosis and Treatment 10
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- Immunodeficiency and Autoimmune Disorders 10
Subhash Varma
164 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Infectious Diseases 570
- Hematology 321
- Genetics 273
- Otorhinolaryngology 70
- Emergency Medicine 137
Countries citing papers authored by Subhash Varma
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2022 | 1 | |
| 3 | 2020 | 3 | |
| 4 | 2018 | 7 | |
| 5 | 2017 | 6 | |
| 6 | 2017 | 2 | |
| 7 | 2017 | 15 | |
| 8 | 2017 | 2 | |
| 9 | 2016 | 9 | |
| 10 | 2016 | 1 | |
| 11 | 2016 | 1 | |
| 12 | 2015 | 14 | |
| 13 | 2015 | 6 | |
| 14 | A case series highlighting the relative frequencies of the common, uncommon and atypical/unusual hematological findings on bone marrow examination in cases of visceral Leishmaniasis | 2014 | 1 |
| 15 | 2013 | 1 | |
| 16 | 2012 | 2 | |
| 17 | 2009 | 172 | |
| 18 | 2009 | 13 | |
| 19 | Histological and clinical evolution patterns of chronic myelocytic leukemia. | 1997 | 1 |
| 20 | Hypereosinophilic syndrome: the spectrum of clinical, haematological and morphological features. | 1994 | 2 |
About Subhash Varma
Subhash Varma is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Emergency Medicine and Rheumatology, having authored 173 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (34 papers), Chronic Lymphocytic Leukemia Research (30 papers), Acute Myeloid Leukemia Research (17 papers), Acute Lymphoblastic Leukemia research (17 papers), Hematological disorders and diagnostics (12 papers), Eosinophilic Disorders and Syndromes (11 papers), CNS Lymphoma Diagnosis and Treatment (10 papers) and Immunodeficiency and Autoimmune Disorders (10 papers). The work is most often cited by research in Infectious Diseases (570 citations), Hematology (321 citations), Genetics (273 citations), Otorhinolaryngology (70 citations) and Emergency Medicine (137 citations). Subhash Varma has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Neelam Varma, Pankaj Malhotra, Shraddha Jain, Sandeep Chauhan, Pankaj Malhotra, Naresh K. Panda, Shivaprakash M. Rudramurthy, Deepesh Lad, Kamal Kant Sahu and Man Updesh Singh Sachdeva. Their work appears in journals such as Blood, Postgraduate Medical Journal, British Journal of Haematology, The Indian Journal of Medical Research and Annals of Hematology.
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.