Jonathan Serrano

35 papers receiving 984 citations

Peers

Jonathan Serrano
Comparison fields: 5 of 73
  • Genetics 359
  • Cancer Research 153
  • Neurology 142
  • Oncology 140
  • Molecular Biology 332
Replace Michiel Wagemakers with:
Michiel Wagemakers Netherlands
Ichiyo Shibahara Japan
Rimas V. Lukas United States
James Lennon United States
Dominique Figarella‐Branger France
Edwin Lok United States
Francesco Di Meco Italy
Gerrit H. Gielen Germany
Susan Brandenburg Germany
Benjamin Himes United States
Jonathan Serrano relative to Michiel Wagemakers Netherlands Michiel Wagemakers's profile →
Citations per field
00.5×1.7×
Michiel Wagemakers · 1×
Citations per year

Countries citing papers authored by Jonathan Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016169
2 2020137
3 201992
4 202083
5 202272
6 201847
7 201743
8 201735
9 201535
10 201831
11 201931
12 201927
13 201924
14 201424
15 202219
16 201917
17 201914
18 202013
19 202011
20 20199

About Jonathan Serrano

Jonathan Serrano is a scholar working on Genetics, Molecular Biology, Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 996 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (21 papers), Epigenetics and DNA Methylation (7 papers), Cancer Genomics and Diagnostics (6 papers), Sarcoma Diagnosis and Treatment (5 papers), Cancer-related molecular mechanisms research (4 papers), Neuroblastoma Research and Treatments (3 papers), Hedgehog Signaling Pathway Studies (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Genetics (359 citations), Cancer Research (153 citations), Neurology (142 citations), Oncology (140 citations) and Molecular Biology (332 citations). Jonathan Serrano has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Matija Snuderl, Varshini Vasudevaraja, Marc Ladanyi, Matthias A. Karajannis, Cheddhi Thomas, Michael DeLorenzo, David Jones, H. R. Boerma, Zenglu Li and Aristotelis Tsirigos. Their work appears in journals such as Journal of Neuropathology & Experimental Neurology, Acta Neuropathologica Communications, Neuro-Oncology Advances, Radiotherapy and Oncology and Modern Pathology.

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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