Yeong-Man Hong

964 citations
33 papers · 811 indexed · h-index 16
Topics
Mass Spectrometry Techniques and Applications (8 papers)Advanced Proteomics Techniques and Applications (5 papers)Analytical Chemistry and Chromatography (3 papers)

In The Last Decade

Yeong-Man Hong

33 papers receiving 774 citations

Peers

Yeong-Man Hong
Comparison fields: 5 of 92
  • Molecular Biology 449
  • Cellular and Molecular Neuroscience 134
  • Spectroscopy 131
  • Immunology 114
  • Endocrinology 88
Replace Beth L. Gillece-Castro with:
Beth L. Gillece-Castro United States
Heather S. Smallwood United States
C. J. Bruton United Kingdom
Aniel Sánchez Cuba
Vincent G. Nadeau Canada
Tammy‐Lynn Tremblay Canada
Conceição A.S.A. Minetti United States
Jennifer A. Taylor United States
Hiroshi Inouye Japan
Timothy Nugent Ireland
Yeong-Man Hong relative to Beth L. Gillece-Castro United States Beth L. Gillece-Castro's profile →
Citations per field
00.5×3.9×
Beth L. Gillece-Castro · 1×
Citations per year

Countries citing papers authored by Yeong-Man Hong

Since Specialization
Citations

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

Fields of papers citing papers by Yeong-Man Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeong-Man Hong. 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 Yeong-Man Hong. The network helps show where Yeong-Man Hong may publish in the future.

Co-authorship network of co-authors of Yeong-Man Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Yeong-Man Hong. A scholar is included among the top collaborators of Yeong-Man Hong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yeong-Man Hong. Yeong-Man Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 20
2 88
3 61
4 21
5 15
6 10
7
Dynamic expression of .ALPHA.B-crystallin in skeletal muscle effects of unweighting, passive stretch and denervation.:Effects of Unweighting, Passive Stretch and Denervation
2
8 6
9 36
10 8
11 36
12 20
13 77
14 20
15 9
16 8
17 11
18 16
19 5
20 16

About Yeong-Man Hong

Yeong-Man Hong is a scholar working on Spectroscopy, Immunology and Allergy and Toxicology, having authored 33 papers that have together received 811 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (8 papers), Advanced Proteomics Techniques and Applications (5 papers) and Analytical Chemistry and Chromatography (3 papers). The work is most often cited by research in Endocrinology (88 citations), Spectroscopy (131 citations) and Cellular and Molecular Neuroscience (134 citations). Yeong-Man Hong has collaborated with scholars based in Japan, Czechia and United States. Frequent co-authors include Yasutsugu Shimonishi, Toshifumi Takao, Satoru Nakai, Itsuo Katakuse, Hisashi Matsuda, Saburo Aimoto, Yoshikatsu Hirai, Tsutomu Nishida, Takekiyo Matsuo and Yasuo Natori. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Biochemical and Biophysical Research Communications.

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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