Daniel P. Casella

711 citations
23 papers · 504 · h-index 10

Impact in

Papers in

    • Urinary and Genital Oncology Studies 2
    • Urological Disorders and Treatments 7
    • Urinary Bladder and Prostate Research 3

Daniel P. Casella

20 papers receiving 496 citations

Peers

Daniel P. Casella
Comparison fields: 5 of 84
  • Urology 116
  • Pediatrics, Perinatology and Child Health 127
  • Endocrinology 21
  • Oncology 92
  • Surgery 148
Replace Yasuki Sakamoto with:
Yasuki Sakamoto Japan
Florian Obermayr Germany
Johannes Eberle Austria
Shigeyuki Aoki Japan
Pao‐Chin Chiu Taiwan
Amir Hamza Germany
Sechin Cho United States
Colm Costigan Ireland
Junya Fujimura Japan
B. G. Ockenden United Kingdom
Daniel P. Casella relative to Yasuki Sakamoto Japan Yasuki Sakamoto's profile →
Citations per field
00.5×10×15.5×
Yasuki Sakamoto · 1×
Citations per year

Countries citing papers authored by Daniel P. Casella

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Casella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005137
2 200686
3 201254
4 201647
5 201133
6 201525
7 201623
8 201120
9 201619
10 201714
11 20089
12 20219
13 20108
14 20146
15 20224
16 20233
17
Blunt force trauma as a rare mechanism for chyluria.
20163
18 20222
19 20151
20 20211

About Daniel P. Casella

Daniel P. Casella is a scholar working on Surgery, Urology, Pediatrics, Perinatology and Child Health, Molecular Biology and Epidemiology, having authored 23 papers that have together received 504 indexed citations. Recurring topics across this work include Urological Disorders and Treatments (7 papers), Pediatric Urology and Nephrology Studies (6 papers), Urinary Bladder and Prostate Research (3 papers), Pelvic floor disorders treatments (2 papers), Urinary and Genital Oncology Studies (2 papers), Urinary Tract Infections Management (2 papers), Sexual Differentiation and Disorders (2 papers) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Urology (116 citations), Pediatrics, Perinatology and Child Health (127 citations), Endocrinology (21 citations), Oncology (92 citations) and Surgery (148 citations). Daniel P. Casella has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Karl T. Kelsey, Michael C. Ost, Eric J. Duell, Elizabeth A. Holly, Robert D. Burk, Angeline S. Andrew, Jason H. Moore, Tor D. Tosteson, Alan R. Schned and Heather H. Nelson. Their work appears in journals such as Journal of Pediatric Urology, The Journal of Urology, Urology, Journal of Endourology and Infection and Immunity.

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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