J. Marín

66 papers receiving 983 citations

Peers

J. Marín
Comparison fields: 5 of 86
  • Pathology and Forensic Medicine 282
  • Physiology 388
  • Biochemistry 108
  • Cellular and Molecular Neuroscience 186
  • Cardiology and Cardiovascular Medicine 227
Replace Byung Yong Rhim with:
Byung Yong Rhim South Korea
J. Dananberg United States
J. T. Povlishock India
Yin Hua Zhang South Korea
Helen E. Benson United Kingdom
Helma van Essen Netherlands
Liqiu Mo China
Nathalie Pizzinat France
Ersilia Cipolletta Italy
Ketao Ma China
J. Marín relative to Byung Yong Rhim South Korea Byung Yong Rhim's profile →
Citations per field
00.5×3.4×
Byung Yong Rhim · 1×
Citations per year

Countries citing papers authored by J. Marín

Since Specialization
Citations

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

Fields of papers citing papers by J. Marín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200393
2 200789
3 200159
4 199454
5 199353
6 199546
7 199942
8 199239
9 198137
10 197734
11 199033
12 199427
13 199025
14 198224
15 199423
16 199017
17 197917
18 197817
19 198516
20
Prognostic factors in patients who received autologous bone marrow transplantation for non-Hodgkin's lymphoma. Report of 104 patients from the Spanish Cooperative Group GEL/TAMO.
199415

About J. Marín

J. Marín is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Neurology, having authored 68 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (30 papers), Neuroscience and Neuropharmacology Research (13 papers), Ion channel regulation and function (12 papers), Receptor Mechanisms and Signaling (11 papers), Renin-Angiotensin System Studies (9 papers), Traumatic Brain Injury and Neurovascular Disturbances (8 papers), Eicosanoids and Hypertension Pharmacology (7 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (282 citations), Physiology (388 citations), Biochemistry (108 citations), Cellular and Molecular Neuroscience (186 citations) and Cardiology and Cardiovascular Medicine (227 citations). J. Marín has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Mercedes Salaíces, Carlos F. Sánchez‐Ferrer, Gloria Balfagón, Silvia M. Arribas, María J. Alonso, M.A. Rodríguez-Martínez, Salvador Lluch, B. Gómez, E. Condé and Jesús Reviriego. Their work appears in journals such as Journal of Pharmacy and Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Hypertension, Annals of Oncology and Pharmacology & 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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