Daniel Martín

127 total papers · 3.1k total citations
40 papers, 2.1k citations indexed

About

Daniel Martín is a scholar working on Ophthalmology, Epidemiology and Neurology. According to data from OpenAlex, Daniel Martín has authored 40 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ophthalmology, 10 papers in Epidemiology and 6 papers in Neurology. Recurrent topics in Daniel Martín's work include Ocular Diseases and Behçet’s Syndrome (10 papers), Cytomegalovirus and herpesvirus research (8 papers) and Retinal Diseases and Treatments (5 papers). Daniel Martín is often cited by papers focused on Ocular Diseases and Behçet’s Syndrome (10 papers), Cytomegalovirus and herpesvirus research (8 papers) and Retinal Diseases and Treatments (5 papers). Daniel Martín collaborates with scholars based in United States, United Kingdom and Switzerland. Daniel Martín's co-authors include Baruch D. Kuppermann, Richard A. Wolitz, Charles A. Robinson, Alan G. Palestine, Hong Li, David Callanan, G. J. Jaffe, P. Andrew Pearson, Timothy L. Comstock and David C. Musch and has published in prestigious journals such as New England Journal of Medicine, Nature Reviews Drug Discovery and The Journal of Infectious Diseases.

In The Last Decade

Daniel Martín

32 papers receiving 2.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Martín 1.0k 901 450 318 303 40 2.1k
Charles A. Robinson 236 0.2× 1.2k 1.4× 518 1.2× 61 0.2× 197 0.7× 31 2.5k
Christine Fardeau 1.9k 1.9× 281 0.3× 140 0.3× 424 1.3× 293 1.0× 108 2.5k
G. S. Baarsma 1.7k 1.7× 668 0.7× 66 0.1× 143 0.4× 76 0.3× 80 2.3k
Joke H. de Boer 2.0k 2.0× 621 0.7× 78 0.2× 120 0.4× 91 0.3× 99 2.5k
Ronald G. Steis 197 0.2× 602 0.7× 1.1k 2.3× 83 0.3× 489 1.6× 70 3.0k
Ramana S. Moorthy 1.4k 1.4× 311 0.3× 89 0.2× 130 0.4× 99 0.3× 47 1.9k
T. Hoang–Xuan 1.1k 1.1× 768 0.9× 172 0.4× 87 0.3× 188 0.6× 116 2.5k
Zohar Habot‐Wilner 1.2k 1.2× 128 0.1× 79 0.2× 126 0.4× 110 0.4× 78 1.6k
J. D‘Amaro 223 0.2× 380 0.4× 124 0.3× 54 0.2× 157 0.5× 71 2.1k
James S. Louie 678 0.7× 424 0.5× 126 0.3× 95 0.3× 156 0.5× 72 2.8k

Countries citing papers authored by Daniel Martín

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Martín

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Martín. A scholar is included among the top collaborators of Daniel Martín 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 Daniel Martín. Daniel Martín is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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