Hamza Hashmi

2.8k citations
105 papers · 532 · h-index 12

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Oncology top 10%
    • CAR-T cell therapy research
    • Peptidase Inhibition and Analysis

Papers in

    • Multiple Myeloma Research and Treatments 50
    • Hematopoietic Stem Cell Transplantation 6
    • Chronic Myeloid Leukemia Treatments 5
    • CAR-T cell therapy research 40

Hamza Hashmi

92 papers receiving 528 citations

Peers

Hamza Hashmi
Comparison fields: 5 of 56
  • Hematology 212
  • Oncology 285
  • Genetics 40
  • Immunology 68
  • Molecular Biology 158
Replace Woo‐Sung Min with:
Woo‐Sung Min South Korea
Christin B. DeStefano United States
Odit Gutwein Israel
Enrico Maffini Italy
Rafic Farah United States
Anna Johnston Australia
Masatoshi Sakurai Japan
Alberto Mussetti Spain
Folashade Otegbeye United States
Shin‐ichi Fuchida Japan
Hamza Hashmi relative to Woo‐Sung Min South Korea Woo‐Sung Min's profile →
Citations per field
00.5×10×15×17.9×
Woo‐Sung Min · 1×
Citations per year

Countries citing papers authored by Hamza Hashmi

Since Specialization
Citations

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

Fields of papers citing papers by Hamza Hashmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202342
2 202037
3 201635
4 202330
5 202228
6 202323
7 202420
8 202317
9 202114
10 202113
11 202412
12 202211
13 202210
14 202110
15 20239
16 20239
17 20189
18 20227
19 20227
20 20197

About Hamza Hashmi

Hamza Hashmi is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 105 papers that have together received 532 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (50 papers), CAR-T cell therapy research (40 papers), Protein Degradation and Inhibitors (13 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (7 papers), Hematopoietic Stem Cell Transplantation (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers) and Chronic Myeloid Leukemia Treatments (5 papers). The work is most often cited by research in Hematology (212 citations), Oncology (285 citations), Genetics (40 citations), Immunology (68 citations) and Molecular Biology (158 citations). Hamza Hashmi has collaborated with scholars based in United States, Pakistan and India. Frequent co-authors include James A. Davis, Al‐Ola Abdallah, Nausheen Ahmed, Faiz Anwer, Joseph P. McGuirk, Jack Khouri, Danai Dima, Leyla Shune, Shahzad Raza and Zahra Mahmoudjafari. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, Journal of Clinical Oncology, European Journal Of Haematology and Biology of Blood and Marrow Transplantation.

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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