Michelle Abboud

705 citations
15 papers · 597 · h-index 8

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • Hematopoietic Stem Cell Transplantation 11
    • Acute Myeloid Leukemia Research 1
    • Polyomavirus and related diseases 7

Michelle Abboud

15 papers receiving 571 citations

Peers

Michelle Abboud
Comparison fields: 5 of 56
  • Hematology 380
  • Genetics 163
  • Immunology 216
  • Transplantation 19
  • Immunology and Allergy 28
Replace J Laver with:
J Laver United States
JL Ascensao United States
Akira Ishiwata Japan
REUVEN OR Israel
Goldman Jm United Kingdom
Tanja Gromke Germany
Rolla F Abu-Arja United States
Irina Zaidman Israel
Karl‐Walter Sykora Germany
Val Shepherd United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Michelle Abboud

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Abboud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Evaluation of the in vitro behavior of phenotypically defined populations of umbilical cord blood hematopoietic progenitor cells.
1994112
2 2009105
3 201184
4
Presence of tumour necrosis factor or a related factor in human basophil/mast cells.
198976
5 198968
6 200959
7 200950
8
Bone marrow transplantation for sickle cell disease. The United States experience.
199432
9 20073
10 20102
11 20102
12 19891
13 20091
14 20081
15 20091

About Michelle Abboud

Michelle Abboud is a scholar working on Hematology, Oncology, Genetics, Immunology and Epidemiology, having authored 15 papers that have together received 597 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), Polyomavirus and related diseases (7 papers), Cytomegalovirus and herpesvirus research (4 papers), Immunotherapy and Immune Responses (3 papers), Mesenchymal stem cell research (3 papers), Acute Myeloid Leukemia Research (1 paper), Fungal Infections and Studies (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Hematology (380 citations), Genetics (163 citations), Immunology (216 citations), Transplantation (19 citations) and Immunology and Allergy (28 citations). Michelle Abboud has collaborated with scholars based in United States. Frequent co-authors include Andromachi Scaradavou, Juliet N. Barker, Rebecca M. Hawke, J Laver, Glenn Heller, James W. Young, Y P Yung, Martin A. Steffen, Gene K. Potter and Malcolm A.S. Moore. Their work appears in journals such as Transplantation and Cellular Therapy, Blood and PubMed.

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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