Micha Srour

728 citations
27 papers · 112 · h-index 7

Impact in

    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • Hematopoietic Stem Cell Transplantation 11
    • Acute Myeloid Leukemia Research 9
    • CAR-T cell therapy research 2

Micha Srour

23 papers receiving 111 citations

Peers

Micha Srour
Comparison fields: 5 of 42
  • Hematology 43
  • Infectious Diseases 26
  • Oncology 33
  • Obstetrics and Gynecology 9
  • Transplantation 3
Replace Satoshi Kaito with:
Satoshi Kaito Japan
Kayan Dunnigan United States
Kevin Jestice United Kingdom
Éric Ducas Canada
Colleen Timlin United States
Thure Mors Haunstrup Denmark
Ceri Bygrave United Kingdom
Eva Bubanská Slovakia
Çağlayan Merve Ayaz Türkiye
Lauren Shapiro United States
Micha Srour relative to Satoshi Kaito Japan Satoshi Kaito's profile →
Citations per field
00.5×4.5×
Satoshi Kaito · 1×
Citations per year

Countries citing papers authored by Micha Srour

Since Specialization
Citations

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

Fields of papers citing papers by Micha Srour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202015
2 202113
3 202412
4 202012
5 20229
6 20109
7 20209
8 20226
9 20195
10 20234
11 20224
12 20213
13 20221
14 20231
15 20241
16 20231
17 20191
18 20241
19 20211
20 20111

About Micha Srour

Micha Srour is a scholar working on Hematology, Oncology, Immunology, Epidemiology and Genetics, having authored 27 papers that have together received 112 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), Acute Myeloid Leukemia Research (9 papers), Herpesvirus Infections and Treatments (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), CAR-T cell therapy research (2 papers), Virus-based gene therapy research (2 papers), COVID-19 Clinical Research Studies (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Hematology (43 citations), Infectious Diseases (26 citations), Oncology (33 citations), Obstetrics and Gynecology (9 citations) and Transplantation (3 citations). Micha Srour has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Ibrahim Yakoub‐Agha, Tamim Alsuliman, Léonardo Magro, David Beauvais, Didier Blaise, Hermann Einsele, Sophia Danhof, Michael Hudecek, Patrice Chevallier and Valérie Coiteux. Their work appears in journals such as Journal of Medical Virology, Bone Marrow Transplantation, Blood Advances, The Lancet Haematology and Blood Cancer Journal.

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.

Explore authors with similar magnitude of impact