Ryan Kohlbrenner

440 citations
27 papers · 299 · h-index 8

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • Venous Thromboembolism Diagnosis and Management

Papers in

Ryan Kohlbrenner

26 papers receiving 290 citations

Peers

Ryan Kohlbrenner
Comparison fields: 5 of 58
  • Hepatology 97
  • Internal Medicine 36
  • Radiology, Nuclear Medicine and Imaging 99
  • Emergency Medical Services 22
  • Computer Vision and Pattern Recognition 57
Replace Akshat Gotra with:
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M. Niethammer Germany
C. Fuhrman United States
A D Vellet Canada
Jungo Yasuda Japan
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Citations per field
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Citations per year

Countries citing papers authored by Ryan Kohlbrenner

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Kohlbrenner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201195
2 201087
3 201635
4 201711
5 202010
6 20197
7 20157
8 20227
9 20196
10 20185
11 20195
12 20194
13 20233
14 20183
15 20092
16 20192
17 20171
18 20241
19 20221
20 20211

About Ryan Kohlbrenner

Ryan Kohlbrenner is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Hepatology, Pulmonary and Respiratory Medicine and Oncology, having authored 27 papers that have together received 299 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (5 papers), Radiation Dose and Imaging (4 papers), Organ Transplantation Techniques and Outcomes (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), AI in cancer detection (3 papers), Central Venous Catheters and Hemodialysis (3 papers), MRI in cancer diagnosis (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Hepatology (97 citations), Internal Medicine (36 citations), Radiology, Nuclear Medicine and Imaging (99 citations), Emergency Medical Services (22 citations) and Computer Vision and Pattern Recognition (57 citations). Ryan Kohlbrenner has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Kenji Suzuki, M. Epstein, Masatoshi Hori, Jian‐Wu Xu, R L Baron, Aytekin Oto, K. Kolli, Maureen P. Kohi, Nicholas Fidelman and Evan Lehrman. Their work appears in journals such as Journal of Vascular and Interventional Radiology, Medical Physics, Radiology, American Journal of Roentgenology and Cardiovascular Diagnosis and Therapy.

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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