Ryan Lamm

577 citations
32 papers · 316 · h-index 11

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Appendicitis Diagnosis and Management

Papers in

    • Diverticular Disease and Complications 5
    • Gastrointestinal disorders and treatments 4
    • Pancreatitis Pathology and Treatment 3
    • Intraperitoneal and Appendiceal Malignancies 3

Ryan Lamm

25 papers receiving 316 citations

Peers

Ryan Lamm
Comparison fields: 5 of 75
  • Hepatology 72
  • Emergency Medicine 50
  • Cancer Research 42
  • Developmental Neuroscience 10
  • Oncology 60
Replace Tai-Jong Chao with:
Tai-Jong Chao Taiwan
Suzanne Bennett United States
Todd A. Baker United States
A. M. D. Churchhouse United Kingdom
Romain Morichon France
Ellen Mitchell United States
Mohamad Mouchli United States
F. Nudo Italy
Shelley Caltharp United States
Si Hyung Lee South Korea
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Citations per field
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Tai-Jong Chao · 1×
Citations per year

Countries citing papers authored by Ryan Lamm

Since Specialization
Citations

This map shows the geographic impact of Ryan 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 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 Lamm more than expected).

Fields of papers citing papers by Ryan Lamm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020121
2 201719
3 202216
4 202014
5 202414
6 202313
7 201612
8 202211
9 202211
10 201611
11 202010
12 201810
13 20189
14 20227
15 20226
16 20225
17 20165
18 20224
19 20224
20 20183

About Ryan Lamm

Ryan Lamm is a scholar working on Surgery, Oncology, Emergency Medicine, Anesthesiology and Pain Medicine and Epidemiology, having authored 32 papers that have together received 316 indexed citations. Recurring topics across this work include Appendicitis Diagnosis and Management (6 papers), Diverticular Disease and Complications (5 papers), Gastrointestinal disorders and treatments (4 papers), Pancreatitis Pathology and Treatment (3 papers), Opioid Use Disorder Treatment (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Intraperitoneal and Appendiceal Malignancies (3 papers) and Pain Management and Opioid Use (3 papers). The work is most often cited by research in Hepatology (72 citations), Emergency Medicine (50 citations), Cancer Research (42 citations), Developmental Neuroscience (10 citations) and Oncology (60 citations). Ryan Lamm has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Hien Dang, Keyur Patel, Ashesh P. Shah, Kai Zhang, Dana A. Dominguez, Jie Yang, Alliric I. Willis, Dana A. Telem, Lijuan Kang and Aurora D. Pryor. Their work appears in journals such as Journal of Surgical Research, Surgical Endoscopy, Journal of Gastrointestinal Surgery, Gastroenterology and Journal of the American College of Surgeons.

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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