Mor Diaw

435 citations
33 papers · 295 · h-index 10

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
  • Hematology top 10%
    • Iron Metabolism and Disorders
    • Erythropoietin and Anemia Treatment

Papers in

Mor Diaw

28 papers receiving 289 citations

Peers

Mor Diaw
Comparison fields: 5 of 73
  • Genetics 160
  • Hematology 124
  • Physiology 91
  • Endocrinology, Diabetes and Metabolism 49
  • Orthopedics and Sports Medicine 13
Replace Harvey L. Reid with:
Harvey L. Reid Jamaica
Charles Hayfron‐Benjamin Ghana
Allison W. McIntyre United States
Mammen Puliyel United States
D. W. Dawson United Kingdom
E Jacobs Netherlands
Houman Tahmasebi Canada
Amir Schechter Israel
Malgorzata Magliano United Kingdom
D. Rothman United Kingdom
Mor Diaw relative to Harvey L. Reid Jamaica Harvey L. Reid's profile →
Citations per field
00.5×
Harvey L. Reid · 1×
Citations per year

Countries citing papers authored by Mor Diaw

Since Specialization
Citations

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

Fields of papers citing papers by Mor Diaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201043
2 201138
3 201331
4 201526
5 201823
6 201221
7 201320
8 201615
9 202213
10 201812
11 20199
12 20208
13 20236
14 20236
15 20134
16 20223
17 20153
18 20182
19 20162
20 20181

About Mor Diaw

Mor Diaw is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Physiology, Hematology and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 295 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (15 papers), Blood properties and coagulation (9 papers), Iron Metabolism and Disorders (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Erythrocyte Function and Pathophysiology (3 papers), Air Quality and Health Impacts (3 papers), Dietary Effects on Health (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (160 citations), Hematology (124 citations), Physiology (91 citations), Endocrinology, Diabetes and Metabolism (49 citations) and Orthopedics and Sports Medicine (13 citations). Mor Diaw has collaborated with scholars based in Senegal, France and United States. Frequent co-authors include Philippe Connes, Abdoulaye Samb, Saliou Diop, Marie‐Dominique Hardy‐Dessources, Rhonda BeLue, Pascal Bogui, Julien Tripette, Marc Romana, Arnold Degboe and Olivier Hüe. Their work appears in journals such as British Journal of Haematology, Diabetes Care, Journal of Proteome Research, Chronobiology International and Health Education & Behavior.

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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