Lang‐Ming Chi

1.1k citations
33 papers · 874 indexed · h-index 20

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 5
    • Genomics and Phylogenetic Studies 2
    • Protein Structure and Dynamics 2
    • Peptidase Inhibition and Analysis 4
    • Viral-associated cancers and disorders 2

Lang‐Ming Chi

32 papers receiving 866 citations

Peers

Lang‐Ming Chi
Comparison fields: 5 of 90
  • Otorhinolaryngology 60
  • Cancer Research 176
  • Periodontics 47
  • Spectroscopy 146
  • Molecular Biology 512
Replace Manoj Kumar Kashyap with:
Manoj Kumar Kashyap United States
Hua‐Chien Chen Taiwan
Adriana L. Gonzalez United States
Jerry L. Hudson United States
Chuannong Zhou China
Lisa Vanderveer United States
Yixuan Yang China
Shang‐Hung Chen Taiwan
Chao‐Qun Hong China
Lang‐Ming Chi relative to Manoj Kumar Kashyap United States Manoj Kumar Kashyap's profile →
Citations per field
00.5×5.2×
Manoj Kumar Kashyap · 1×
Citations per year

Countries citing papers authored by Lang‐Ming Chi

Since Specialization
Citations

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

Fields of papers citing papers by Lang‐Ming Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200983
2 201177
3 201164
4 200850
5 201846
6 199146
7 201441
8 201539
9 201137
10 201936
11 201930
12 201330
13 201329
14 199828
15 199028
16 201825
17 200623
18 199023
19 201722
20 201821

About Lang‐Ming Chi

Lang‐Ming Chi is a scholar working on Molecular Biology, Oncology, Spectroscopy, Physiology and Immunology, having authored 33 papers that have together received 874 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), Lipid Membrane Structure and Behavior (5 papers), Peptidase Inhibition and Analysis (4 papers), Advanced NMR Techniques and Applications (2 papers), Genomics and Phylogenetic Studies (2 papers), Viral-associated cancers and disorders (2 papers), Protein Structure and Dynamics (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Otorhinolaryngology (60 citations), Cancer Research (176 citations), Periodontics (47 citations), Spectroscopy (146 citations) and Molecular Biology (512 citations). Lang‐Ming Chi has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Jau‐Song Yu, Yu‐Sun Chang, Kun‐Yi Chien, Kai‐Ping Chang, Ying Liang, Wen‐guey Wu, Shiau-Chin Liu, Chih‐Ching Wu, Chia‐Jung Yu and Chien‐Wei Lee. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Proteome Research, Biochimica et Biophysica Acta (BBA) - Biomembranes, Journal of Proteomics 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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