María Simó

26 papers receiving 616 citations

Peers

María Simó
Comparison fields: 5 of 83
  • Pathology and Forensic Medicine 190
  • Infectious Diseases 159
  • Molecular Medicine 34
  • Neurology 86
  • Animal Science and Zoology 59
Replace Doron Rimar with:
Doron Rimar Israel
Ryuji Fukushima Japan
Mark T. Lin United States
Hyun Seok Kang United States
Pascale Nicaise France
Harry Brown United States
Ting Song China
Neven Papić Croatia
Yahel Segal‬‏ Israel
James K. Kelly Canada
María Simó relative to Doron Rimar Israel Doron Rimar's profile →
Citations per field
00.5×10×14.8×
Doron Rimar · 1×
Citations per year

Countries citing papers authored by María Simó

Since Specialization
Citations

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

Fields of papers citing papers by María Simó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002156
2 201465
3 201147
4
Fibrinogen, plasma viscosity and blood viscosity in obesity. Relationship with insulin resistance.
200741
5 201337
6 201135
7 201026
8
Red blood cell deformability in iron deficiency anaemia.
200526
9 201522
10 200818
11 200718
12
Influence of fibrinogen levels on erythrocyte aggregation determined with the Myrenne aggregometer and the Sefam erythro-aggregometer.
200518
13 200817
14 201016
15 200714
16 201212
17 201612
18 200611
19 20088
20
[Epidemic outbreak of shigellosis following water intake].
19957

About María Simó

María Simó is a scholar working on Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Rheumatology, Oncology and Endocrinology, Diabetes and Metabolism, having authored 26 papers that have together received 633 indexed citations. Recurring topics across this work include Blood properties and coagulation (8 papers), Multiple Sclerosis Research Studies (7 papers), Systemic Lupus Erythematosus Research (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Polyomavirus and related diseases (3 papers), Peripheral Neuropathies and Disorders (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (190 citations), Infectious Diseases (159 citations), Molecular Medicine (34 citations), Neurology (86 citations) and Animal Science and Zoology (59 citations). María Simó has collaborated with scholars based in Spain, Germany and Australia. Frequent co-authors include Bonaventura Casanova, Amparo Vayá, Francisco Coret, Isabel Boscá, Santiago Caballero, Albert Bosch, Cristina Latorre, Rosa M Pintó, Cristina Villena and Susana Guix. Their work appears in journals such as Journal of Neuroimmunology, Thrombosis Research, Journal of Clinical Oncology, Neuroradiology and Journal of Clinical Microbiology.

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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