Ramzi Abboud

897 citations
28 papers · 527 · h-index 9

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Hematopoietic Stem Cell Transplantation 20
    • Acute Myeloid Leukemia Research 6
    • Immune Cell Function and Interaction 8
    • T-cell and B-cell Immunology 3

Ramzi Abboud

28 papers receiving 517 citations

Peers

Ramzi Abboud
Comparison fields: 5 of 76
  • Hematology 227
  • Immunology 134
  • Oncology 173
  • Transplantation 15
  • Molecular Biology 176
Replace Tomohiro Kubo with:
Tomohiro Kubo Japan
Enrique Colado Spain
Cristina Tassi Italy
Jia Gu China
Malte Roerden Germany
Darlene J. Elias United States
Byung Soo Kim South Korea
Chun Yang China
Yifeng Tao China
Ramzi Abboud relative to Tomohiro Kubo Japan Tomohiro Kubo's profile →
Citations per field
00.5×
Tomohiro Kubo · 1×
Citations per year

Countries citing papers authored by Ramzi Abboud

Since Specialization
Citations

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

Fields of papers citing papers by Ramzi Abboud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008145
2 2016104
3 197377
4 202234
5 202229
6 202029
7 202125
8 202420
9 202314
10 20216
11 20216
12 20235
13 20244
14 20233
15 20223
16 20243
17 20233
18 20203
19 20242
20 20242

About Ramzi Abboud

Ramzi Abboud is a scholar working on Hematology, Immunology, Public Health, Environmental and Occupational Health, Oncology and Genetics, having authored 28 papers that have together received 527 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (20 papers), Acute Lymphoblastic Leukemia research (9 papers), Immune Cell Function and Interaction (8 papers), Acute Myeloid Leukemia Research (6 papers), CAR-T cell therapy research (6 papers), Mesenchymal stem cell research (3 papers), T-cell and B-cell Immunology (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (227 citations), Immunology (134 citations), Oncology (173 citations), Transplantation (15 citations) and Molecular Biology (176 citations). Ramzi Abboud has collaborated with scholars based in United States, Italy and Colombia. Frequent co-authors include RF Coburn, Cheryl A. Corbett, Duane C. Hassane, Xiaojie Li, Jane L. Liesveld, Craig T. Jordan, Mónica L. Guzmán, John F. DiPersio, Fay Young and Martin Carroll. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation and Frontiers in Immunology.

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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