Daniel Martı́n

8.0k total citations · 3 hit papers
86 papers, 5.8k citations indexed

About

Daniel Martı́n is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Daniel Martı́n has authored 86 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 20 papers in Oncology and 14 papers in Cancer Research. Recurrent topics in Daniel Martı́n's work include PI3K/AKT/mTOR signaling in cancer (10 papers), Viral-associated cancers and disorders (6 papers) and Lung Cancer Treatments and Mutations (6 papers). Daniel Martı́n is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (10 papers), Viral-associated cancers and disorders (6 papers) and Lung Cancer Treatments and Mutations (6 papers). Daniel Martı́n collaborates with scholars based in United States, Spain and Japan. Daniel Martı́n's co-authors include J. Silvio Gutkind, Antonio Cuadrado, Marta Salinas, George W. Sledge, Robert J. Goulet, Harikrishna Nakshatri, Poornima Bhat‐Nakshatri, Rebeca Galisteo, Ana I. Rojo and Alfredo Molinolo and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Daniel Martı́n

84 papers receiving 5.7k citations

Hit Papers

Constitutive Activation of NF-κB during Progression of Br... 1997 2026 2006 2016 1997 2004 2021 200 400 600

Peers

Daniel Martı́n
Comparison fields: 5 of 142
  • Molecular Biology 3.2k
  • Oncology 1.3k
  • Cancer Research 1.0k
  • Immunology 916
  • Physiology 645
Replace Takashi Okamoto with:
Takashi Okamoto Japan
Mamoru Satoh Japan
Patricia Andrade‐Gordon United States
Hajime Sano Japan
Takeshi Kanno Japan
Yanchun Li China
William H. Hoffman United States
Xiaojuan Li China
Stuart Farrow United Kingdom
Marina Di Domenico Italy
Takashi Okamoto Japan View profile →
Citations per field, relative to Daniel Martı́n
Daniel Martı́n · 1×
Citations per year, relative to Daniel Martı́n
Daniel Martı́n · 1×

Countries citing papers authored by Daniel Martı́n

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Martı́n

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Martı́n

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Martı́n. A scholar is included among the top collaborators of Daniel Martı́n 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 Martı́n. Daniel Martı́n 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
# Work Indexed citations
1 0
2 4
3 2
4 4
5 3
6 42
7 4
8
Human oral mucosa cell atlas reveals a stromal-neutrophil axis regulating tissue immunity breakdown →
296
9 37
10 54
11 67
12 9
13 48
14 117
15 34
16 52
17 106
18 57
19 179
20 32

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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2026