Angel M. Serio

6.5k total citations · 2 hit papers
48 papers, 4.6k citations indexed

About

Angel M. Serio is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Urology. According to data from OpenAlex, Angel M. Serio has authored 48 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Pulmonary and Respiratory Medicine, 15 papers in Surgery and 7 papers in Urology. Recurrent topics in Angel M. Serio's work include Prostate Cancer Diagnosis and Treatment (25 papers), Prostate Cancer Treatment and Research (17 papers) and Bladder and Urothelial Cancer Treatments (9 papers). Angel M. Serio is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (25 papers), Prostate Cancer Treatment and Research (17 papers) and Bladder and Urothelial Cancer Treatments (9 papers). Angel M. Serio collaborates with scholars based in United States, Sweden and Denmark. Angel M. Serio's co-authors include Andrew J. Vickers, Peter T. Scardino, James A. Eastham, Ganesh V. Raj, William C. Huang, Mark E. Snyder, Paul Russo, Andrew S. Levey, Bernard H. Bochner and Guido Dalbagni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and JNCI Journal of the National Cancer Institute.

In The Last Decade

Angel M. Serio

44 papers receiving 4.5k citations

Hit Papers

Chronic kidney disease after nephrectomy in patients with... 2006 2026 2012 2019 2006 2007 250 500 750 1000

Peers

Angel M. Serio
Comparison fields: 5 of 114
  • Pulmonary and Respiratory Medicine 3.1k
  • Surgery 1.8k
  • Molecular Biology 1.1k
  • Oncology 801
  • Rheumatology 646
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Citations per field, relative to Angel M. Serio
Angel M. Serio · 1×
Citations per year, relative to Angel M. Serio
Angel M. Serio · 1×

Countries citing papers authored by Angel M. Serio

Since Specialization
Citations

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

Fields of papers citing papers by Angel M. Serio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angel M. Serio. 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 Angel M. Serio. The network helps show where Angel M. Serio may publish in the future.

Co-authorship network of co-authors of Angel M. Serio

This figure shows the co-authorship network connecting the top 25 collaborators of Angel M. Serio. A scholar is included among the top collaborators of Angel M. Serio 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 Angel M. Serio. Angel M. Serio 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
1 108
2 13
3 174
4 273
5 35
6
Laparoscopy: Chronic kidney disease after nephrectomy in patients with renal cortical tumours: A retrospective cohort study - Commentary
1
7 142
8 278
9 163
10 20
11 162
12 11
13 72
14 27
15 23
16 318
17
Chronic kidney disease after nephrectomy in patients with renal cortical tumours: a retrospective cohort study breakdown →
1163
18 20
19 42
20 59

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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