A. Salama

3.4k citations
118 papers · 2.3k indexed · h-index 25
  • Hematology top 0.5%
    • Blood groups and transfusion 70
    • Platelet Disorders and Treatments 31
  • Immunology top 5%
    • T-cell and B-cell Immunology 24
    • Immune Cell Function and Interaction 19
    • Immunotherapy and Immune Responses 14
    • Immunodeficiency and Autoimmune Disorders 11
  • Genetics top 5%
    • Blood disorders and treatments 37
  • Genetics top 5%
    • Blood disorders and treatments 37
  • Physiology top 5%
    • Erythrocyte Function and Pathophysiology 36

A. Salama

114 papers receiving 2.2k citations

Peers

A. Salama
Comparison fields: 5 of 88
  • Hematology 1.6k
  • Immunology 658
  • Genetics 319
  • Genetics 649
  • Physiology 522
Replace C Mueller-Eckhardt with:
C Mueller-Eckhardt Germany
Rick Kapur Netherlands
Katsuyasu Saigo Japan
S. J. Slichter United States
TS Zimmerman United States
Kyou Sup Han South Korea
Laura L. Swystun Canada
Edwin R. Speck Canada
Emmanuel N. Dessypris United States
João L. Ascensão United States
A. Salama relative to C Mueller-Eckhardt Germany C Mueller-Eckhardt's profile →
Citations per field
00.5×3.6×
C Mueller-Eckhardt · 1×
Citations per year

Countries citing papers authored by A. Salama

Since Specialization
Citations

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

Fields of papers citing papers by A. Salama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20092
2 200818
3 20074
4 20064
5 200616
6 20058
7 20058
8 20058
9 200411
10 20046
11 200129
12 200026
13 199814
14 199621
15 19957
16 199112
17 199015
18 19884
19 19886
20 198744

About A. Salama

A. Salama is a scholar working on Hematology, Immunology, Genetics, Physiology and Genetics, having authored 118 papers that have together received 2.3k indexed citations. Recurring topics across this work include Blood groups and transfusion (70 papers), Blood disorders and treatments (37 papers), Erythrocyte Function and Pathophysiology (36 papers), Platelet Disorders and Treatments (31 papers), T-cell and B-cell Immunology (24 papers), Immune Cell Function and Interaction (19 papers), Immunotherapy and Immune Responses (14 papers) and Immunodeficiency and Autoimmune Disorders (11 papers). The work is most often cited by research in Hematology (1.6k citations), Immunology (658 citations), Genetics (319 citations), Genetics (649 citations) and Physiology (522 citations). A. Salama has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include C. Mueller‐Eckhardt, V. Kiefel, C Mueller-Eckhardt, H. Kiesewetter, Axel Seltsam, Sucharit Bhakdi, Rainer Blasczyk, Oliver Meyer, J. Wehling and Norbert Ahrens. Their work appears in journals such as Vox Sanguinis, British Journal of Haematology, Transfusion, Transfusion Medicine and Annals of Hematology.

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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