Feng‐Ming Ho

39 papers receiving 1.8k citations

Peers

Feng‐Ming Ho
Comparison fields: 5 of 128
  • Internal Medicine 100
  • Complementary and alternative medicine 188
  • Toxicology 69
  • Biochemistry 101
  • Pharmacology 280
Replace Martin A. Wasserman with:
Martin A. Wasserman United States
Yi Zheng United States
Xavier Norel France
Francesco Vieceli Dalla Sega Italy
Francesco Μaione Italy
Sven Horke Germany
Steven J. Forrester United States
Feng‐Ming Ho relative to Martin A. Wasserman United States Martin A. Wasserman's profile →
Citations per field
00.5×9.1×
Martin A. Wasserman · 1×
Citations per year

Countries citing papers authored by Feng‐Ming Ho

Since Specialization
Citations

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

Fields of papers citing papers by Feng‐Ming Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005226
2 1997168
3 2001163
4 2003111
5 200492
6 200480
7 201078
8 200577
9 200772
10 200866
11 200559
12 200458
13 200452
14 201043
15 200741
16 200338
17 201732
18 201432
19 201430
20 201429

About Feng‐Ming Ho

Feng‐Ming Ho is a scholar working on Molecular Biology, Pharmacology, Immunology, Cancer Research and Complementary and alternative medicine, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Heme Oxygenase-1 and Carbon Monoxide (6 papers), Immune Response and Inflammation (4 papers), NF-κB Signaling Pathways (4 papers), Acupuncture Treatment Research Studies (4 papers), Healthcare and Venom Research (3 papers), Cell Adhesion Molecules Research (3 papers), Inflammatory mediators and NSAID effects (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). The work is most often cited by research in Internal Medicine (100 citations), Complementary and alternative medicine (188 citations), Toxicology (69 citations), Biochemistry (101 citations) and Pharmacology (280 citations). Feng‐Ming Ho has collaborated with scholars based in Taiwan, South Korea and Singapore. Frequent co-authors include Wan‐Wan Lin, Chiau-Suong Liau, Yuan‐Teh Lee, Yung‐Ming Chen, Min‐Liang Kuo, Pei-Dawn Lee Chao, Shie-Liang Hsieh, Chia‐Ron Yang, Pan‐Chyr Yang and Ming‐Tsan Lin. Their work appears in journals such as British Journal of Pharmacology, Biochemical Pharmacology, The American Journal of Emergency Medicine, The American Journal of Chinese Medicine and Journal of Cellular Biochemistry.

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.

Explore authors with similar magnitude of impact