Sameem Abedin

1.7k citations
68 papers · 961 · h-index 18

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 10%

Papers in

    • Acute Myeloid Leukemia Research 26
    • Hematopoietic Stem Cell Transplantation 16
    • Chronic Myeloid Leukemia Treatments 10
    • CAR-T cell therapy research 12

Sameem Abedin

68 papers receiving 948 citations

Peers

Sameem Abedin
Comparison fields: 5 of 71
  • Hematology 359
  • Genetics 91
  • Immunology 170
  • Oncology 196
  • Infectious Diseases 101
Replace Takao Yoshihara with:
Takao Yoshihara Japan
José Luís Fuster Spain
Rong‐Long Chen Taiwan
Daisy Alapat United States
Jochen Casper Germany
Elin Rodger United States
Kazuhiro Mochizuki Japan
Timothy A. Driscoll United States
К. И. Киргизов Russia
Rik A. Brooimans Netherlands
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Citations per field
00.5×10×13.8×
Takao Yoshihara · 1×
Citations per year

Countries citing papers authored by Sameem Abedin

Since Specialization
Citations

This map shows the geographic impact of Sameem 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 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 Abedin more than expected).

Fields of papers citing papers by Sameem Abedin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202184
2 201968
3 200661
4 200557
5 201652
6 201637
7 201635
8 200635
9 201534
10 201833
11 201333
12 201930
13 200528
14 201826
15 201824
16 202024
17 202122
18 202421
19 202016
20 202015

About Sameem Abedin

Sameem Abedin is a scholar working on Hematology, Oncology, Genetics, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 68 papers that have together received 961 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (26 papers), Hematopoietic Stem Cell Transplantation (16 papers), CAR-T cell therapy research (12 papers), Chronic Myeloid Leukemia Treatments (10 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), Protein Degradation and Inhibitors (7 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Acute Lymphoblastic Leukemia research (6 papers). The work is most often cited by research in Hematology (359 citations), Genetics (91 citations), Immunology (170 citations), Oncology (196 citations) and Infectious Diseases (101 citations). Sameem Abedin has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Mehdi Hamadani, Jessica K. Altman, Saurabh Chhabra, Guru Subramanian Guru Murthy, Parameswaran Hari, Joshua J. Michel, Abbe N. Vallejo, Ehab Atallah, Lyndsey Runaas and Hidayatullah G. Munshi. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Transplantation and Cellular Therapy, Blood Advances and Expert Opinion on Investigational Drugs.

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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