I‐Feng Lin

2.1k citations
54 papers · 1.6k indexed · h-index 21

Impact in

Papers in

I‐Feng Lin

52 papers receiving 1.6k citations

Peers

I‐Feng Lin
Comparison fields: 5 of 132
  • Cardiology and Cardiovascular Medicine 424
  • Pulmonary and Respiratory Medicine 600
  • Internal Medicine 63
  • Epidemiology 508
  • Complementary and alternative medicine 105
Replace Cheng‐Han Lee with:
Cheng‐Han Lee Taiwan
Nancy Kim United States
Marc Puyraveau France
Thomas Gilbert France
Farah Khandwala Canada
Monty Mythen United Kingdom
Anoop Chauhan United Kingdom
Anna-Maija Rajakangas Denmark
Paola Rebora Italy
Jorma Torppa Finland
I‐Feng Lin relative to Cheng‐Han Lee Taiwan Cheng‐Han Lee's profile →
Citations per field
00.5×2.6×
Cheng‐Han Lee · 1×
Citations per year

Countries citing papers authored by I‐Feng Lin

Since Specialization
Citations

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

Fields of papers citing papers by I‐Feng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20223
3 20229
4 20227
5 20215
6 202039
7 20199
8 201911
9 201616
10 201514
11 201223
12 201210
13 20122
14 200920
15 200927
16 200926
17 200839
18 200632
19 200667
20 200322

About I‐Feng Lin

I‐Feng Lin is a scholar working on Complementary and alternative medicine, Pulmonary and Respiratory Medicine, Radiological and Ultrasound Technology, Statistics and Probability and Cardiology and Cardiovascular Medicine, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (15 papers), Respiratory Support and Mechanisms (12 papers), Cardiovascular and exercise physiology (9 papers), Blood Pressure and Hypertension Studies (5 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Asthma and respiratory diseases (4 papers), Cardiovascular Function and Risk Factors (3 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (424 citations), Pulmonary and Respiratory Medicine (600 citations), Internal Medicine (63 citations), Epidemiology (508 citations) and Complementary and alternative medicine (105 citations). I‐Feng Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ming‐Lung Chuang, Bernadette Boden‐Albala, Ralph L. Sacco, Myunghee Cho Paik, W. Allen Hauser, Bradley S. Jacobs, Karlman Wasserman, Steven Shea, Mitchell S.V. Elkind and Gregory A. Abel. Their work appears in journals such as Stroke, PeerJ, Scientific Reports, Radiation Research and Respiratory Care.

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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