D. S. Verma

568 citations
13 papers · 450 indexed · h-index 9

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Lung Cancer Research Studies
    • Neutropenia and Cancer Infections

Papers in

    • Hematopoietic Stem Cell Transplantation 9
    • Acute Myeloid Leukemia Research 5
    • Neutropenia and Cancer Infections 3
    • Lung Cancer Research Studies 3
    • Polyomavirus and related diseases 2

D. S. Verma

13 papers receiving 390 citations

Peers

D. S. Verma
Comparison fields: 5 of 39
  • Hematology 265
  • Oncology 182
  • Genetics 67
  • Neurology 76
  • Pathology and Forensic Medicine 61
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Citations per field
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Citations per year

Countries citing papers authored by D. S. Verma

Since Specialization
Citations

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

Fields of papers citing papers by D. S. Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. S. Verma. 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 D. S. Verma. The network helps show where D. S. Verma may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Human immune interferon and leukocyte interferon divert granulocyte macrophage colony forming and not to granulocytes
19842
2 198349
3
Leukemic cell colony formation in soft agar by bone marrow cells and peripheral blood cells from untreated acute leukemia patients.
19838
4
High-dose AMSA and autologous bone marrow transplantation in relapsed acute leukemia.
19821
5 198210
6 19813
7 198140
8 198051
9 198099
10 1979112
11 19791
12
High-dose BCNU therapy with autologous bone marrow infusion: preliminary observations.
197926
13 197848

About D. S. Verma

D. S. Verma is a scholar working on Hematology, Oncology, Emergency Medicine, Immunology and Rheumatology, having authored 13 papers that have together received 450 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (9 papers), Acute Myeloid Leukemia Research (5 papers), Neutropenia and Cancer Infections (3 papers), Immune Response and Inflammation (3 papers), Lung Cancer Research Studies (3 papers), Cancer therapeutics and mechanisms (2 papers), Hematological disorders and diagnostics (2 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Hematology (265 citations), Oncology (182 citations), Genetics (67 citations), Neurology (76 citations) and Pathology and Forensic Medicine (61 citations). D. S. Verma has collaborated with scholars based in United States and Germany. Frequent co-authors include Gary Spitzer, Karel A. Dicke, K. B. McCredie, L Vellekoop, L. J. Peters, A. Zander, J. P. Hester, Melvin L. Samuels, Axel R. Zander and Kenneth B. McCredie. Their work appears in journals such as Cancer, British Journal of Cancer, International Journal of Radiation Oncology*Biology*Physics, American Journal of Hematology and The Lancet.

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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2026