Mehdi Khellaf

6.7k citations
73 papers · 2.3k indexed · h-index 26

Mehdi Khellaf

70 papers receiving 2.3k citations

Peers

Mehdi Khellaf
Comparison fields: 5 of 86
  • Hematology 1.6k
  • Genetics 609
  • Internal Medicine 101
  • Nephrology 177
  • Pathology and Forensic Medicine 357
Replace Indira Warrier with:
Indira Warrier United States
Laura Connelly‐Smith United States
Cindy Neunert United States
Cynthia Rutherford United States
Bertrand Godeau France
Claudine Caron France
Jean Charles Piette France
Nicolas Limal France
Olivier Fain France
V. Blanchette Canada
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Citations per field
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Citations per year

Countries citing papers authored by Mehdi Khellaf

Since Specialization
Citations

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

Fields of papers citing papers by Mehdi Khellaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202411
2 20241
3 202324
4 202125
5 20193
6 20160
7 201658
8 201421
9 201390
10 2012144
11 201218
12 201144
13 20103
14 2008184
15 200854
16
Scalp necrosis in giant cell arteritis.
20071
17 200697
18 20065
19 200513
20
Assessment of a therapeutic strategy for adults with severe autoimmune thrombocytopenic purpura based on a bleeding score rather than platelet count.
2005129

About Mehdi Khellaf

Mehdi Khellaf is a scholar working on Hematology, Genetics, Internal Medicine, Nephrology and Rheumatology, having authored 73 papers that have together received 2.3k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (25 papers), Blood groups and transfusion (22 papers), Hemoglobinopathies and Related Disorders (11 papers), Autoimmune Bullous Skin Diseases (9 papers), Renal Diseases and Glomerulopathies (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Systemic Lupus Erythematosus Research (5 papers) and Acute Myocardial Infarction Research (5 papers). The work is most often cited by research in Hematology (1.6k citations), Genetics (609 citations), Internal Medicine (101 citations), Nephrology (177 citations) and Pathology and Forensic Medicine (357 citations). Mehdi Khellaf has collaborated with scholars based in France, United Kingdom and Switzerland. Frequent co-authors include Bertrand Godeau, Marc Michel, Philippe Bierling, Annette Schaeffer, Laetitia Languille, Matthieu Mahévas, Nicolas Limal, Olivier Fain, Françoise Roudot‐Thoraval and Lionel Galicier. Their work appears in journals such as Blood, American Journal of Hematology, British Journal of Haematology, JAMA and Medicine.

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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