Chad Frank

31 papers receiving 302 citations

Peers

Chad Frank
Comparison fields: 5 of 70
  • Equine 17
  • Small Animals 77
  • Endocrinology, Diabetes and Metabolism 72
  • Pulmonary and Respiratory Medicine 108
  • Microbiology 17
Replace P. De Fornel‐Thibaud with:
P. De Fornel‐Thibaud France
Veronica Kristiansen Norway
Luisa Vera Muscatello Italy
Steve A. Soergel United States
Tomohiro Sakakibara Japan
Karl‐Erik Fichtelius Sweden
Maria Cannone Italy
Jan Kłos Norway
C. R. Sipe United States
Susanne Witt Germany
Chad Frank relative to P. De Fornel‐Thibaud France P. De Fornel‐Thibaud's profile →
Citations per field
00.5×1.5×
P. De Fornel‐Thibaud · 1×
Citations per year

Countries citing papers authored by Chad Frank

Since Specialization
Citations

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

Fields of papers citing papers by Chad Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201554
2 201334
3 201624
4 201322
5 202218
6 202018
7 201616
8 201814
9 201313
10 201711
11 201111
12 201710
13 20229
14 20169
15 20128
16 20197
17 20196
18 20204
19 20204
20 20194

About Chad Frank

Chad Frank is a scholar working on Pulmonary and Respiratory Medicine, Small Animals, Molecular Biology, Surgery and Pathology and Forensic Medicine, having authored 36 papers that have together received 317 indexed citations. Recurring topics across this work include Veterinary Oncology Research (17 papers), Glioma Diagnosis and Treatment (4 papers), Fungal Infections and Studies (3 papers), Infectious Diseases and Mycology (3 papers), Virus-based gene therapy research (3 papers), Autoimmune Bullous Skin Diseases (2 papers), Mycobacterium research and diagnosis (2 papers) and Veterinary Orthopedics and Neurology (2 papers). The work is most often cited by research in Equine (17 citations), Small Animals (77 citations), Endocrinology, Diabetes and Metabolism (72 citations), Pulmonary and Respiratory Medicine (108 citations) and Microbiology (17 citations). Chad Frank has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Margaret A. Miller, José A. Ramos‐Vara, U. Loos, Johannes W. Dietrich, J. Catharine Scott‐Moncrieff, Lynn Griffin, Ramesh Vemulapalli, Tiffany Lin, Julia Labadie and Stephanie McGrath. Their work appears in journals such as Journal of Comparative Pathology, Journal of Veterinary Diagnostic Investigation, Veterinary and Comparative Oncology, Journal of the American Veterinary Medical Association and Veterinary Pathology.

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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