Daniel Martí

37 papers receiving 1.6k citations

Peers

Daniel Martí
Comparison fields: 5 of 137
  • Cancer Research 389
  • Immunology and Allergy 133
  • Molecular Biology 892
  • Cognitive Neuroscience 225
  • Hematology 103
Replace Collin M. Stultz with:
Collin M. Stultz United States
Manuela Helmer‐Citterich Italy
Chandra L. Theesfeld United States
Jun Wan United States
Bernardo Celda Spain
Raquel Norel United States
Ronald W. Barrett United States
Chen Zeng United States
Arun P. Wiita United States
Robert B. Bell United States
Daniel Martí relative to Collin M. Stultz United States Collin M. Stultz's profile →
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Citations per year

Countries citing papers authored by Daniel Martí

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Martí

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996326
2 2004289
3 1998114
4 199866
5 201162
6 200959
7 199952
8 200149
9 200349
10 201848
11 199748
12 199446
13 200846
14 200044
15 200241
16 199831
17 201630
18 199325
19 200425
20 201223

About Daniel Martí

Daniel Martí is a scholar working on Molecular Biology, Cancer Research, Cognitive Neuroscience, Clinical Psychology and Social Psychology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Protease and Inhibitor Mechanisms (8 papers), Neural dynamics and brain function (8 papers), Attachment and Relationship Dynamics (5 papers), stochastic dynamics and bifurcation (5 papers), Enzyme Structure and Function (4 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Cancer Research (389 citations), Immunology and Allergy (133 citations), Molecular Biology (892 citations), Cognitive Neuroscience (225 citations) and Hematology (103 citations). Daniel Martí has collaborated with scholars based in Switzerland, United States and Spain. Frequent co-authors include Hans Rudolf Bosshard, Ilian Jelesarov, Johann Schaller, Miguel Llinás, Gustavo Deco, Thomas Gehring, Yihai Cao, Michael S. O’Reilly, Stephen G. McCance and Donald J. Davidson. Their work appears in journals such as Biochemistry, Journal of Child Psychology and Psychiatry, Journal of Molecular Biology, Protein Science and Child Psychiatry & Human Development.

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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