Daniel Serie

4.4k citations
74 papers · 1.9k · h-index 28

Impact in

Papers in

Daniel Serie

71 papers receiving 1.8k citations

Peers

Daniel Serie
Comparison fields: 5 of 99
  • Cancer Research 343
  • Pulmonary and Respiratory Medicine 574
  • Oncology 343
  • Molecular Biology 753
  • Neurology 98
Replace Robert S. Seitz with:
Robert S. Seitz United States
Eric J. Kort United States
Linda J. Metheny‐Barlow United States
Juxiang Chen China
Rossella Rota Italy
Bruno M. Costa Portugal
Beverly L. Falcón United States
Ananth Kadambi United States
T Nishikawa Japan
Raymond R. Mattingly United States
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Citations per field
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Robert S. Seitz · 1×
Citations per year

Countries citing papers authored by Daniel Serie

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Serie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013122
2 2015118
3 2015101
4 201873
5 201668
6 201265
7 201660
8 201356
9 201554
10 201952
11 201851
12 201751
13 201451
14 201649
15 201745
16 201944
17 201344
18 201442
19 201340
20 201538

About Daniel Serie

Daniel Serie is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Neurology, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (19 papers), Renal and related cancers (7 papers), Peptidase Inhibition and Analysis (6 papers), vaccines and immunoinformatics approaches (6 papers), Glycosylation and Glycoproteins Research (5 papers), Cancer Genomics and Diagnostics (5 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). The work is most often cited by research in Cancer Research (343 citations), Pulmonary and Respiratory Medicine (574 citations), Oncology (343 citations), Molecular Biology (753 citations) and Neurology (98 citations). Daniel Serie has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Richard W. Joseph, Alexander S. Parker, Jeanette E. Eckel‐Passow, John C. Cheville, Thai H. Ho, Mansi Parasramka, James Brugarolas, Payal Kapur, Brian M. Necela and E. Aubrey Thompson. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE, Urologic Oncology Seminars and Original Investigations, Cancer Research and BMC Urology.

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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