Ryan J. Lamm
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Hepatocellular Carcinoma Treatment and Prognosis
- Emergency Medicine top 10%
- Appendicitis Diagnosis and Management
Papers in
- Co-authors
- Keyur Patel (4 shared papers)Hien T. Dang (4 shared papers)Ashesh P. Shah (3 shared papers)Kai Zhang (1 shared paper)Dana A. Dominguez (1 shared paper)Aurora Dawn Pryor (6 shared papers)Dana Alexa Telem (6 shared papers)Mark A. Talamini (6 shared papers)
- Journals
- Journal of Surgical Research (3 papers)Journal of Gastrointestinal Surgery (3 papers)Surgical Endoscopy (3 papers)Journal of the American College of Surgeons (2 papers)Gastroenterology (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Ryan J. Lamm
32 papers receiving 418 citations
Peers
Comparison fields: 5 of 63
- Hepatology 73
- Emergency Medicine 46
- Oncology 94
- Developmental Neuroscience 12
- Cancer Research 42
Countries citing papers authored by Ryan J. Lamm
This map shows the geographic impact of Ryan J. Lamm'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 J. Lamm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan J. Lamm more than expected).
Fields of papers citing papers by Ryan J. Lamm
This network shows the impact of papers produced by Ryan J. Lamm. 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 J. Lamm. The network helps show where Ryan J. Lamm may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan J. Lamm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 128 | |
| 2 | 2023 | 30 | |
| 3 | 2024 | 24 | |
| 4 | 2023 | 20 | |
| 5 | 2023 | 20 | |
| 6 | 2017 | 20 | |
| 7 | 2022 | 17 | |
| 8 | 2022 | 15 | |
| 9 | 2020 | 14 | |
| 10 | 2016 | 13 | |
| 11 | 2022 | 13 | |
| 12 | 2016 | 12 | |
| 13 | 2018 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 2018 | 10 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2016 | 5 | |
| 20 | 2022 | 5 |
About Ryan J. Lamm
Ryan J. Lamm is a scholar working on Oncology, Surgery, Emergency Medicine, Hepatology and Public Health, Environmental and Occupational Health, having authored 39 papers that have together received 420 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (5 papers), Diverticular Disease and Complications (4 papers), Pancreatitis Pathology and Treatment (3 papers), Appendicitis Diagnosis and Management (3 papers), Opioid Use Disorder Treatment (3 papers), Gastrointestinal disorders and treatments (2 papers), Gallbladder and Bile Duct Disorders (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Hepatology (73 citations), Emergency Medicine (46 citations), Oncology (94 citations), Developmental Neuroscience (12 citations) and Cancer Research (42 citations). Ryan J. Lamm has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Keyur Patel, Hien T. Dang, Ashesh P. Shah, Kai Zhang, Dana A. Dominguez, Aurora Dawn Pryor, Dana Alexa Telem, Mark A. Talamini, Lijuan Kang and Jill C. Genua. Their work appears in journals such as Journal of Surgical Research, Journal of Gastrointestinal Surgery, Surgical Endoscopy, Journal of the American College of Surgeons and Gastroenterology.
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.