Daniel T. Farkas

44 total papers · 840 total citations
30 papers, 597 citations indexed

About

Daniel T. Farkas is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Emergency Medicine. According to data from OpenAlex, Daniel T. Farkas has authored 30 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Surgery, 10 papers in Pulmonary and Respiratory Medicine and 6 papers in Emergency Medicine. Recurrent topics in Daniel T. Farkas's work include Gallbladder and Bile Duct Disorders (7 papers), Appendicitis Diagnosis and Management (4 papers) and Bariatric Surgery and Outcomes (4 papers). Daniel T. Farkas is often cited by papers focused on Gallbladder and Bile Duct Disorders (7 papers), Appendicitis Diagnosis and Management (4 papers) and Bariatric Surgery and Outcomes (4 papers). Daniel T. Farkas collaborates with scholars based in United States, Grenada and Sint Maarten. Daniel T. Farkas's co-authors include John M. Cosgrove, Kamal Nagpal, Allan Jensen, Sørensen Ht, Lars C. Pedersen, Claus Sværke, Knud Kragballe, Annette Wasielewski, Garth H. Ballantyne and Vinay Singhal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gut and The American Journal of Surgery.

In The Last Decade

Daniel T. Farkas

27 papers receiving 588 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel T. Farkas 290 153 129 113 86 30 597
Ömer Cengiz 348 1.2× 198 1.3× 94 0.7× 101 0.9× 61 0.7× 36 630
Seth A. Spector 238 0.8× 124 0.8× 189 1.5× 53 0.5× 66 0.8× 32 565
Kurt Melstrom 224 0.8× 258 1.7× 154 1.2× 100 0.9× 59 0.7× 37 635
Kathryn Spanknebel 294 1.0× 309 2.0× 73 0.6× 83 0.7× 85 1.0× 25 657
Zisun Kim 207 0.7× 255 1.7× 97 0.8× 46 0.4× 68 0.8× 39 628
Emer O’Connell 152 0.5× 248 1.6× 92 0.7× 62 0.5× 58 0.7× 35 514
Steven C. Agle 227 0.8× 154 1.0× 150 1.2× 48 0.4× 65 0.8× 33 540
Alexandra Briggs 109 0.4× 250 1.6× 255 2.0× 157 1.4× 32 0.4× 30 648
Susan Kennedy 241 0.8× 100 0.7× 57 0.4× 150 1.3× 62 0.7× 44 692
Emily A. Vail 132 0.5× 97 0.6× 90 0.7× 71 0.6× 122 1.4× 37 578

Countries citing papers authored by Daniel T. Farkas

Since Specialization
Citations

This map shows the geographic impact of Daniel T. Farkas'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 T. Farkas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Farkas more than expected).

Fields of papers citing papers by Daniel T. Farkas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel T. Farkas

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel T. Farkas. A scholar is included among the top collaborators of Daniel T. Farkas 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 Daniel T. Farkas. Daniel T. Farkas 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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