María Gómez

1.8k citations
42 papers · 1.1k indexed · h-index 21
Topics
Antifungal resistance and susceptibility (14 papers)Fungal Infections and Studies (10 papers)Glycosylation and Glycoproteins Research (4 papers)
Partner nations
ItalySpainUnited States

In The Last Decade

María Gómez

40 papers receiving 1.1k citations

Peers

María Gómez
Comparison fields: 5 of 90
  • Infectious Diseases 427
  • Epidemiology 386
  • Molecular Biology 351
  • Immunology 296
  • Surgery 171
Replace Shu Okugawa with:
Shu Okugawa Japan
Myriam Tanguy France
Elias Westermarck Finland
Gunther Spohn Italy
Paolo Ruggiero Italy
Sushil Kumar Pathak India
Michael D. Smith United Kingdom
Riny Janssen Netherlands
Carina Vingsbo Lundberg Denmark
Mohlopheni J. Marakalala South Africa
María Gómez relative to Shu Okugawa Japan Shu Okugawa's profile →
Citations per field
00.5×1.5×
Shu Okugawa · 1×
Citations per year

Countries citing papers authored by María Gómez

Since Specialization
Citations

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

Fields of papers citing papers by María Gómez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Gómez

This figure shows the co-authorship network connecting the top 25 collaborators of María Gómez. A scholar is included among the top collaborators of María Gómez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with María Gómez. María Gómez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 16
4 73
5 22
6 55
7 64
8 1
9 104
10
CagA positive Helicobacter pylori strains are associated with atherosclerotic stroke
2
11 19
12
Técnicas bacteriológicas para el diagnóstico e identificación de Mycobacterium tuberculosis
1
13 43
14 21
15 7
16 4
17 32
18 56
19 5
20 27

About María Gómez

María Gómez is a scholar working on Infectious Diseases, Microbiology and Molecular Medicine, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (14 papers), Fungal Infections and Studies (10 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Infectious Diseases (427 citations), Microbiology (103 citations) and Molecular Medicine (72 citations). María Gómez has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Antonio Cassone, Antonella Torosantucci, Alexander A. Neyfakh, Francesca Urbani, Ignacio Moriyón, Clara Maria Ausiello, Roberto La Valle, Carla Bromuro, Ida Luzzi and Yoshikazu Nakamura. Their work appears in journals such as Circulation, Blood and Molecular Cell.

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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