Mahmoud Hammad

1.1k citations
50 papers · 747 · h-index 12

Impact in

    • COVID-19 and healthcare impacts
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing

Papers in

    • Acute Myeloid Leukemia Research 9
    • Hematopoietic Stem Cell Transplantation 6
    • Multiple Myeloma Research and Treatments 3

Mahmoud Hammad

38 papers receiving 730 citations

Peers

Mahmoud Hammad
Comparison fields: 5 of 95
  • Oncology 231
  • Infectious Diseases 154
  • Modeling and Simulation 38
  • Hematology 82
  • Genetics 36
Replace Elizabeth S. Allen with:
Elizabeth S. Allen United States
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Wenjuan He China
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Citations per field
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Citations per year

Countries citing papers authored by Mahmoud Hammad

Since Specialization
Citations

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

Fields of papers citing papers by Mahmoud Hammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021214
2 2022114
3 202192
4 202243
5 199338
6 202135
7 202021
8 201517
9 202117
10 202016
11 199712
12 202112
13 202211
14 19949
15 20209
16 20229
17 20208
18 20228
19 20017
20 20206

About Mahmoud Hammad

Mahmoud Hammad is a scholar working on Hematology, Genetics, Oncology, Modeling and Simulation and Public Health, Environmental and Occupational Health, having authored 50 papers that have together received 747 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Acute Lymphoblastic Leukemia research (7 papers), Hematopoietic Stem Cell Transplantation (6 papers), COVID-19 and healthcare impacts (6 papers), COVID-19 epidemiological studies (3 papers), Neuroblastoma Research and Treatments (3 papers), Multiple Myeloma Research and Treatments (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Oncology (231 citations), Infectious Diseases (154 citations), Modeling and Simulation (38 citations), Hematology (82 citations) and Genetics (36 citations). Mahmoud Hammad has collaborated with scholars based in Egypt, United States and Germany. Frequent co-authors include Thierry T.F. Facon, Marc Zandecki, Alaa Elhaddad, Hanafy Ahmed Hafez, F Bauters, Claude Preudhomme, Hesham M. M. Mansour, Jean Luc Laı̈, Jean Pierre Jouet and Eric Wattel. Their work appears in journals such as Pediatric Transplantation, The Journal of Sexual Medicine, British Journal of Haematology, The Lancet Oncology and Frontiers in Oncology.

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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