Dávid Major

27 papers receiving 358 citations

Peers

Dávid Major
Comparison fields: 5 of 85
  • Internal Medicine 43
  • Hematology 58
  • Endocrinology, Diabetes and Metabolism 66
  • Neurology 23
  • Health, Toxicology and Mutagenesis 33
Replace Yalçı́n Kepekçi with:
Yalçı́n Kepekçi Türkiye
Murat Atmaca Türkiye
Céline Straczek France
Guido Anello Italy
David Seaton United Kingdom
Askar Ghorbani Iran
Jelena Stevanović Netherlands
Simon Lorrain France
Atsushi Terao Japan
H. J. Roberts United States
Dávid Major relative to Yalçı́n Kepekçi Türkiye Yalçı́n Kepekçi's profile →
Citations per field
00.5×11×
Yalçı́n Kepekçi · 1×
Citations per year

Countries citing papers authored by Dávid Major

Since Specialization
Citations

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

Fields of papers citing papers by Dávid Major

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002105
2 202363
3 202437
4 202434
5 202418
6 200017
7 202416
8 202215
9 197311
10 202511
11 19997
12 20245
13 20225
14 20234
15 20242
16 20242
17 20232
18 20252
19 20232
20 20192

About Dávid Major

Dávid Major is a scholar working on Physiology, Public Health, Environmental and Occupational Health, Molecular Biology, Cardiology and Cardiovascular Medicine and Clinical Psychology, having authored 30 papers that have together received 367 indexed citations. Recurring topics across this work include Diet and metabolism studies (5 papers), Nutritional Studies and Diet (4 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cardiovascular Effects of Exercise (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Magnesium in Health and Disease (2 papers), Birth, Development, and Health (2 papers) and Cardiovascular Issues in Pregnancy (2 papers). The work is most often cited by research in Internal Medicine (43 citations), Hematology (58 citations), Endocrinology, Diabetes and Metabolism (66 citations), Neurology (23 citations) and Health, Toxicology and Mutagenesis (33 citations). Dávid Major has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Vince Fazekas‐Pongor, Mónika Fekete, Andrea Lehoczki, David M. Herrington, Eric Vittinghoff, Timothy D. Howard, David M. Reboussin, Deborah Grady, Donald W. Bowden and Joel A. Simon. Their work appears in journals such as Nutrients, GeroScience, Frontiers in Endocrinology, Frontiers in Public Health and Chemical Senses.

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