M Yebra

33 papers receiving 542 citations

Peers

M Yebra
Comparison fields: 5 of 66
  • Parasitology 65
  • Public Health, Environmental and Occupational Health 235
  • Epidemiology 237
  • Dermatology 48
  • Biochemistry 34
Replace Prawat Nítiyanant with:
Prawat Nítiyanant Thailand
Juan R. Velázquez Mexico
Mathieu Dupont France
Sen-Lian Yang United States
Mehmet Harman Türkiye
J. A. Räsänen Finland
Gerald W. Zaidman United States
M Digeon France
Alfredo Cruz‐Lagunas Mexico
Daniela A. Bermejo Argentina
M Yebra relative to Prawat Nítiyanant Thailand Prawat Nítiyanant's profile →
Citations per field
00.5×2×4×6×8.5×
Prawat Nítiyanant · 1×
Citations per year

Countries citing papers authored by M Yebra

Since Specialization
Citations

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

Fields of papers citing papers by M Yebra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M Yebra, 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 M Yebra Line = papers co-authored together M Yebra 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 1990133
2 198999
3 198859
4 200139
5 199927
6 200024
7 200021
8
T lymphocytes from alcoholic cirrhotic patients show normal interleukin-2 production but a defective proliferative response to polyclonal mitogens.
199421
9 199718
10 200315
11
Chromomycosis due to Exophiala jeanselmei in a renal transplant recipient.
200315
12 199214
13 199912
14 199811
15 20039
16 19919
17 19988
18
Double disease in rheumatology: coexistence of rheumatoid arthritis and psoriatic arthritis.
19927
19 19895
20 20065

About M Yebra

M Yebra is a scholar working on Epidemiology, Pathology and Forensic Medicine, Infectious Diseases, Surgery and Dermatology, having authored 33 papers that have together received 585 indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (4 papers), Autoimmune Bullous Skin Diseases (3 papers), Vector-borne infectious diseases (3 papers), Systemic Lupus Erythematosus Research (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Viral-associated cancers and disorders (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Skin Diseases and Diabetes (3 papers). The work is most often cited by research in Parasitology (65 citations), Public Health, Environmental and Occupational Health (235 citations), Epidemiology (237 citations), Dermatology (48 citations) and Biochemistry (34 citations). M Yebra has collaborated with scholars based in Spain and Slovakia. Frequent co-authors include Carlos Montalbán, José Luís Calleja, J. Cobo, Walter Martínez, Eduardo Fonseca, Jesús del Pozo, Bonaventura Clotet, Alejo Erice, Daniel Podzamczer and Josep Mallolas. Their work appears in journals such as Clinical Infectious Diseases, Journal of the American Academy of Dermatology, Clinical and Experimental Dermatology, Journal of Cutaneous Pathology and Gastroenterology.

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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