Nadim Mahmud

3.3k citations
105 papers · 2.5k indexed · h-index 24
  • Genetics top 0.5%
    • Mesenchymal stem cell research 14
    • Hemoglobinopathies and Related Disorders 11
  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation 42
    • Acute Myeloid Leukemia Research 22
  • Immunology top 10%
    • Immunotherapy and Immune Responses 11
    • Immune Cell Function and Interaction 10
    • T-cell and B-cell Immunology 9
    • Epigenetics and DNA Methylation 12
  • Oncology top 10%

Nadim Mahmud

98 papers receiving 2.5k citations

Peers

Nadim Mahmud
Comparison fields: 5 of 103
  • Genetics 1.1k
  • Hematology 1.0k
  • Immunology 372
  • Molecular Biology 1.2k
  • Oncology 369
Replace Carlijn Voermans with:
Carlijn Voermans Netherlands
Paolo Sportoletti Italy
Manuela Tavian France
Stephen J. Szilvassy United States
Borja Sáez United States
Barbara Bigerna Italy
C.A. Griffin United States
José A. García‐Marco Spain
Jason Ross United States
Masashi Sanada Japan
Nadim Mahmud relative to Carlijn Voermans Netherlands Carlijn Voermans's profile →
Citations per field
00.5×1.5×1.8×
Carlijn Voermans · 1×
Citations per year

Countries citing papers authored by Nadim Mahmud

Since Specialization
Citations

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

Fields of papers citing papers by Nadim Mahmud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20250
4 20251
5 20240
6 20242
7 202214
8 20228
9 20209
10 20197
11 20174
12 201438
13 20138
14 20102
15 201038
16 20107
17 200678
18 200614
19 200547
20 20008

About Nadim Mahmud

Nadim Mahmud is a scholar working on Hematology, Genetics and Immunology, having authored 105 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (42 papers), Acute Myeloid Leukemia Research (22 papers), Mesenchymal stem cell research (14 papers), Epigenetics and DNA Methylation (12 papers), Immunotherapy and Immune Responses (11 papers), Hemoglobinopathies and Related Disorders (11 papers), Immune Cell Function and Interaction (10 papers) and T-cell and B-cell Immunology (9 papers). The work is most often cited by research in Genetics (1.1k citations), Hematology (1.0k citations) and Immunology (372 citations). Nadim Mahmud has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Ronald Hoffman, Mary C. Nelson, Hiroto Araki, Robert S. Hoffman, Steven M. Devine, Damiano Rondelli, Donald Lavelle, Cord Sturgeon, Mohammed Milhem and Kevin P. Weller. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

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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