Chen-Fuh Lam

30 papers receiving 855 citations

Peers

Chen-Fuh Lam
Comparison fields: 5 of 82
  • Rehabilitation 50
  • Developmental Neuroscience 27
  • Biochemistry 50
  • Genetics 58
  • Cardiology and Cardiovascular Medicine 110
Replace Pamela G. Lloyd with:
Pamela G. Lloyd United States
Tomasz Wietecha United States
Fulvio Floccari Italy
Masashi Fujita Japan
Giovana Seno Di Marco Germany
Jianteng Gu China
Dolors Giralt Spain
Yasutaka Tanaka Japan
Feng Liang China
Michael J. Raher United States
Chen-Fuh Lam relative to Pamela G. Lloyd United States Pamela G. Lloyd's profile →
Citations per field
00.5×3.3×
Pamela G. Lloyd · 1×
Citations per year

Countries citing papers authored by Chen-Fuh Lam

Since Specialization
Citations

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

Fields of papers citing papers by Chen-Fuh Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen-Fuh Lam. 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 Chen-Fuh Lam. The network helps show where Chen-Fuh Lam may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200890
2 200881
3 200574
4 201366
5 200860
6 201952
7 201451
8 201640
9 201140
10 202038
11 200737
12 200535
13 200229
14 201025
15 201225
16 201219
17 201716
18 201015
19 201414
20 201314

About Chen-Fuh Lam

Chen-Fuh Lam is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Physiology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine, having authored 30 papers that have together received 868 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (6 papers), Nitric Oxide and Endothelin Effects (5 papers), Angiogenesis and VEGF in Cancer (4 papers), Cardiac Ischemia and Reperfusion (3 papers), Wound Healing and Treatments (2 papers), Cardiovascular Issues in Pregnancy (1 paper), Ion Transport and Channel Regulation (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Rehabilitation (50 citations), Developmental Neuroscience (27 citations), Biochemistry (50 citations), Genetics (58 citations) and Cardiology and Cardiovascular Medicine (110 citations). Chen-Fuh Lam has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Yu‐Chuan Tsai, Jun‐Neng Roan, Zvonimir S. Katušić, Yen‐Chin Liu, Livius V. d’Uscio, Timothy E. Peterson, Karl A. Nath, Anthony J. Croatt, Ming‐Wei Lin and Hon-Chi Lee. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, Anesthesia & Analgesia, American Journal of Physiology-Heart and Circulatory Physiology, Anesthesiology and Journal of Surgical Research.

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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