Diego Serrano

1.2k citations
24 papers · 759 · h-index 15

Impact in

    • Cancer, Hypoxia, and Metabolism
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • DNA Repair Mechanisms 4
    • Angiogenesis and VEGF in Cancer 2
    • Lung Cancer Research Studies 4
    • Cancer Immunotherapy and Biomarkers 3
    • Cancer Cells and Metastasis 3

Diego Serrano

23 papers receiving 749 citations

Peers

Diego Serrano
Comparison fields: 5 of 80
  • Cancer Research 145
  • Oncology 245
  • Immunology 132
  • Molecular Biology 384
  • Aging 8
Replace Takafumi Kuroda with:
Takafumi Kuroda Japan
Yen-An Tang Taiwan
Shikha Saini United States
Sui-Sui Dong Hong Kong
Galina M. Kiriakova United States
Kue Peng Lim Malaysia
Haiyun Cheng United States
Eric J. Gapud United States
Alvin V. Ng Canada
Zhouyu Ning China
Diego Serrano relative to Takafumi Kuroda Japan Takafumi Kuroda's profile →
Citations per field
00.5×3.5×
Takafumi Kuroda · 1×
Citations per year

Countries citing papers authored by Diego Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Diego Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009102
2 201180
3 202168
4 201259
5 200258
6 202156
7 202154
8 202050
9 200944
10 202231
11 201419
12 202218
13 202117
14 202216
15 201615
16 202313
17 201213
18 202513
19 20079
20 20208

About Diego Serrano

Diego Serrano is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Cell Biology, having authored 24 papers that have together received 759 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Lung Cancer Research Studies (4 papers), Microtubule and mitosis dynamics (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Cells and Metastasis (3 papers), Prostate Cancer Treatment and Research (3 papers), Cancer Genomics and Diagnostics (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Cancer Research (145 citations), Oncology (245 citations), Immunology (132 citations), Molecular Biology (384 citations) and Aging (8 citations). Diego Serrano has collaborated with scholars based in Spain, United States and Canada. Frequent co-authors include Alfonso Calvo, Jon Lecanda, Miriam Redrado, Raúl Catena, Anne‐Marie Bleau, Damien D’Amours, Víctor Segura, Jeffrey E. Green, Norma B. Sterin‐Speziale and Ignacio Fernandez‐Garcia. Their work appears in journals such as Cancers, Journal for ImmunoTherapy of Cancer, Experimental Cell Research, Molecular Cancer and Biomedicines.

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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