Abu‐Sayeef Mirza

680 citations
41 papers · 353 · h-index 11

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

Abu‐Sayeef Mirza

36 papers receiving 348 citations

Peers

Abu‐Sayeef Mirza
Comparison fields: 5 of 67
  • Hematology 76
  • Genetics 46
  • Oncology 116
  • Rheumatology 44
  • Pathology and Forensic Medicine 29
Replace Sze Chai Chan with:
Sze Chai Chan Hong Kong
Charlene M. McShane United Kingdom
Áurea Lima Portugal
Wendy Vogel United States
Robert J. Verburg Netherlands
Smita Kayal India
Kevin Imrie Canada
Solange Mongoue‐Tchokote United States
Johannes C. Nunnink United States
Abu‐Sayeef Mirza relative to Sze Chai Chan Hong Kong Sze Chai Chan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Abu‐Sayeef Mirza

Since Specialization
Citations

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

Fields of papers citing papers by Abu‐Sayeef Mirza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abu‐Sayeef Mirza. 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 Abu‐Sayeef Mirza. The network helps show where Abu‐Sayeef Mirza may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201749
2 201740
3 202035
4 201828
5 201825
6 202123
7 202217
8 201914
9 202111
10 202210
11 201510
12 20219
13 20188
14 20168
15 20207
16 20177
17 20227
18 20185
19 20234
20 20204

About Abu‐Sayeef Mirza

Abu‐Sayeef Mirza is a scholar working on Oncology, Pathology and Forensic Medicine, Genetics, Hematology and Public Health, Environmental and Occupational Health, having authored 41 papers that have together received 353 indexed citations. Recurring topics across this work include CAR-T cell therapy research (13 papers), Lymphoma Diagnosis and Treatment (7 papers), Chronic Lymphocytic Leukemia Research (5 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), Acute Myeloid Leukemia Research (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers) and Biosimilars and Bioanalytical Methods (2 papers). The work is most often cited by research in Hematology (76 citations), Genetics (46 citations), Oncology (116 citations), Rheumatology (44 citations) and Pathology and Forensic Medicine (29 citations). Abu‐Sayeef Mirza has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Sowmya Nanjappa, Rahul Mhaskar, Laurie Woodard, Mohammad Hussaini, Rami S. Komrokji, Eric Padron, Jeffrey E. Lancet, Etienne Léveillé, Jinming Song and Kohei Kume. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, Journal of Clinical Oncology, Biology of Blood and Marrow Transplantation and Medicine.

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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