J.A. Gómez-Gerique

1.3k citations
43 papers · 983 indexed · h-index 18

J.A. Gómez-Gerique

43 papers receiving 947 citations

Peers

J.A. Gómez-Gerique
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 352
  • Surgery 258
  • Epidemiology 156
  • Cardiology and Cardiovascular Medicine 151
  • Molecular Biology 123
Replace Hans Blokzijl with:
Hans Blokzijl Netherlands
G Perani Italy
Sandra Milić Croatia
Carlo M. Barbagallo Italy
Aleksandar Sikole North Macedonia
Kenneth A. Schwartz United States
Eugene Han South Korea
Junhao Cheng China
Jenny E. Kootstra‐Ros Netherlands
Lidija Orlić Croatia
J.A. Gómez-Gerique relative to Hans Blokzijl Netherlands Hans Blokzijl's profile →
Citations per field
00.5×1.5×
Hans Blokzijl · 1×
Citations per year

Countries citing papers authored by J.A. Gómez-Gerique

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Gómez-Gerique

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.A. Gómez-Gerique. 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 J.A. Gómez-Gerique. The network helps show where J.A. Gómez-Gerique may publish in the future.

Co-authorship network of co-authors of J.A. Gómez-Gerique

This figure shows the co-authorship network connecting the top 25 collaborators of J.A. Gómez-Gerique. A scholar is included among the top collaborators of J.A. Gómez-Gerique 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 J.A. Gómez-Gerique. J.A. Gómez-Gerique 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 25
2 2
3 6
4
Inflammation markers, chronic kidney disease, and renal replacement therapy.
32
5
Markers of inflammation before and during peritoneal dialysis.
4
6 13
7 65
8 55
9 9
10 1
11 62
12 40
13 59
14 21
15 2
16 7
17 13
18 13
19 3
20 11

About J.A. Gómez-Gerique

J.A. Gómez-Gerique is a scholar working on Endocrinology, Diabetes and Metabolism, Transplantation and Biochemistry, having authored 43 papers that have together received 983 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers) and Nutritional Studies and Diet (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (352 citations), Transplantation (33 citations) and Nephrology (81 citations). J.A. Gómez-Gerique has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Jesús Egido, Miguel A. Rubio, Francesc González‐Sastre, Luis Miguel Blanco‐Colio, Jesús Millán, Luis A. Álvarez-Sala, Jordi Ordóñez‐Llanos, Miguel Ángel Hernández-Presa, Stefanie Schoppen and Carmen Bustos. Their work appears in journals such as Circulation, Journal of Nutrition and Journal of Pharmacology and Experimental Therapeutics.

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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