Sameem M. Abedin

1.7k citations
66 papers · 1.1k · h-index 19

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Acute Myeloid Leukemia Research 25
    • Hematopoietic Stem Cell Transplantation 24
    • Chronic Myeloid Leukemia Treatments 1
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 3

Sameem M. Abedin

63 papers receiving 1.1k citations

Peers

Sameem M. Abedin
Comparison fields: 5 of 67
  • Hematology 374
  • Infectious Diseases 158
  • Genetics 56
  • Oncology 119
  • Aging 7
Replace Elisabetta Metafuni with:
Elisabetta Metafuni Italy
Jiří Pavlů United Kingdom
Stephan Fuhrmann Germany
Masatoshi Sakurai Japan
Valérie Coiteux France
Fabio Guolo Italy
Noa Lavi Israel
Sarah Lawson United Kingdom
Peter R. E. Johnson United Kingdom
Akiyoshi Miwa Japan
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Citations per field
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Elisabetta Metafuni · 1×
Citations per year

Countries citing papers authored by Sameem M. Abedin

Since Specialization
Citations

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

Fields of papers citing papers by Sameem M. Abedin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sameem M. Abedin. 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 Sameem M. Abedin. The network helps show where Sameem M. Abedin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021108
2 201978
3 200663
4 200557
5 201657
6 201547
7 201642
8 201641
9 202240
10 201835
11 202335
12 202133
13 201332
14 200529
15 201829
16 201829
17 202026
18 202423
19 202020
20 202117

About Sameem M. Abedin

Sameem M. Abedin is a scholar working on Hematology, Genetics, Infectious Diseases, Oncology and Immunology, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (25 papers), Hematopoietic Stem Cell Transplantation (24 papers), CAR-T cell therapy research (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Retinoids in leukemia and cellular processes (2 papers), Chronic Myeloid Leukemia Treatments (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Hematology (374 citations), Infectious Diseases (158 citations), Genetics (56 citations), Oncology (119 citations) and Aging (7 citations). Sameem M. Abedin has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Mehdi Hamadani, Saurabh Chhabra, Jessica Kaplan Altman, Parameswaran Hari, Guru Subramanian Guru Murthy, Lyndsey Runaas, Timothy S. Fenske, Binod Dhakal, Ehab L. Atallah and Hidayatullah G. Munshi. Their work appears in journals such as Transplantation and Cellular Therapy, Blood, Leukemia Research, Blood Advances and Haematologica.

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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