Danielle Fritze

60 total papers · 1.3k total citations
32 papers, 900 citations indexed

About

Danielle Fritze is a scholar working on Surgery, Endocrine and Autonomic Systems and Epidemiology. According to data from OpenAlex, Danielle Fritze has authored 32 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 6 papers in Endocrine and Autonomic Systems and 5 papers in Epidemiology. Recurrent topics in Danielle Fritze's work include Regulation of Appetite and Obesity (6 papers), Surgical Simulation and Training (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Danielle Fritze is often cited by papers focused on Regulation of Appetite and Obesity (6 papers), Surgical Simulation and Training (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Danielle Fritze collaborates with scholars based in United States, China and India. Danielle Fritze's co-authors include Darrell A. Campbell, Samantha Hendren, Michael J. Englesbe, James Kubus, Nathan C. Law, Biaoxin Chai, Christopher B. Geyer, Keren Cheng, Weizhen Zhang and Jake D. Lehle and has published in prestigious journals such as Annals of Surgery, Endocrinology and Cell Reports.

In The Last Decade

Danielle Fritze

26 papers receiving 888 citations

Hit Papers

The Mammalian Spermatogen... 2018 2026 2020 2023 2018 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Danielle Fritze 310 298 209 203 148 32 900
Susan Gelding 158 0.5× 131 0.4× 344 1.6× 237 1.2× 142 1.0× 27 871
Ariachery C. Ammini 217 0.7× 203 0.7× 256 1.2× 103 0.5× 55 0.4× 46 987
Füsun Saygılı 107 0.3× 142 0.5× 165 0.8× 87 0.4× 78 0.5× 65 756
Sinem Kıyıcı 120 0.4× 158 0.5× 140 0.7× 100 0.5× 57 0.4× 37 728
Sun Haeng Kim 102 0.3× 121 0.4× 180 0.9× 182 0.9× 52 0.4× 37 872
Cevdet Duran 148 0.5× 131 0.4× 274 1.3× 137 0.7× 123 0.8× 55 796
Brian R. Winters 185 0.6× 190 0.6× 151 0.7× 80 0.4× 48 0.3× 17 753
Vanadin Seifert‐Klauss 99 0.3× 148 0.5× 114 0.5× 80 0.4× 148 1.0× 61 824
C. C. Chow 119 0.4× 269 0.9× 123 0.6× 84 0.4× 220 1.5× 34 888
Alfred B. Knight 192 0.6× 338 1.1× 144 0.7× 226 1.1× 90 0.6× 22 1.1k

Countries citing papers authored by Danielle Fritze

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Fritze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Fritze

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Fritze. A scholar is included among the top collaborators of Danielle Fritze 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 Danielle Fritze. Danielle Fritze is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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