Hung‐Mo Lin

578 citations
19 papers · 381 · h-index 9

Impact in

Papers in

Hung‐Mo Lin

17 papers receiving 377 citations

Peers

Hung‐Mo Lin
Comparison fields: 5 of 58
  • Cardiology and Cardiovascular Medicine 141
  • Pulmonary and Respiratory Medicine 195
  • Biological Psychiatry 11
  • Surgery 125
  • Geriatrics and Gerontology 10
Replace Xiaoling Hou with:
Xiaoling Hou China
Hongbai Wang China
Dimitry Baranov United States
Alan Davidson United Kingdom
Abraham M. Obuchowski United States
Elisabetta Marana Italy
Henning Ohnesorge Germany
Christian Corrêa Coronel Brazil
Nikil Patel United Kingdom
Hung‐Mo Lin relative to Xiaoling Hou China Xiaoling Hou's profile →
Citations per field
00.5×3.9×
Xiaoling Hou · 1×
Citations per year

Countries citing papers authored by Hung‐Mo Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hung‐Mo Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung‐Mo Lin. 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 Hung‐Mo Lin. The network helps show where Hung‐Mo Lin may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2011195
2 201240
3 202231
4 201330
5 202118
6 202214
7 202012
8 202012
9 202011
10 20234
11 20194
12 20243
13 20192
14 20222
15 20221
16 20211
17 20191
18 20250
19 20240

About Hung‐Mo Lin

Hung‐Mo Lin is a scholar working on Psychiatry and Mental health, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Surgery and Pathology and Forensic Medicine, having authored 19 papers that have together received 381 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (7 papers), Nutritional Studies and Diet (3 papers), Pituitary Gland Disorders and Treatments (3 papers), Medical Education and Admissions (2 papers), Stroke Rehabilitation and Recovery (2 papers), Cardiac Health and Mental Health (2 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Ophthalmology and Eye Disorders (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (141 citations), Pulmonary and Respiratory Medicine (195 citations), Biological Psychiatry (11 citations), Surgery (125 citations) and Geriatrics and Gerontology (10 citations). Hung‐Mo Lin has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Christian D. Etz, Fabian A. Kari, Robert Brenner, Randall B. Griepp, Daniel Silovitz, Mary Sano, Michal Schnaider Beeri, Corey Scurlock, Jayashree Raikhelkar and Anthony Heymann. Their work appears in journals such as Alzheimer s & Dementia, Journal of neurosurgery, American Journal of Geriatric Psychiatry, Scientific Reports and Frontiers in Psychiatry.

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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