Mi Ke

584 citations
36 papers · 430 · h-index 10

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Biotin and Related Studies

Papers in

    • Advanced Proteomics Techniques and Applications 10
    • Mass Spectrometry Techniques and Applications 2
    • Biotin and Related Studies 6

Mi Ke

31 papers receiving 424 citations

Peers

Mi Ke
Comparison fields: 5 of 77
  • Spectroscopy 164
  • Cell Biology 68
  • Molecular Biology 242
  • Aging 6
  • Endocrinology 13
Replace Tejaswita M. Karve with:
Tejaswita M. Karve United States
Margarita Strozynski Norway
Barbara J. Kaboord United States
Sara A. Rubin United States
Robert J. Millikin United States
Wai-Kok Choong Taiwan
Esther M. Martin United Kingdom
Sandra Tan Singapore
Frédéric Nikitin Switzerland
Myung Jin Oh South Korea
Mi Ke relative to Tejaswita M. Karve United States Tejaswita M. Karve's profile →
Citations per field
00.5×2×4×6.5×
Tejaswita M. Karve · 1×
Citations per year

Countries citing papers authored by Mi Ke

Since Specialization
Citations

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

Fields of papers citing papers by Mi Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mi Ke. 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 Mi Ke. The network helps show where Mi Ke may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016118
2 201667
3 202152
4 202118
5 201217
6 201816
7 202116
8 202013
9 202311
10 202210
11 202010
12 20238
13 20238
14 20197
15 20247
16 20256
17 20246
18 20235
19 20225
20 20224

About Mi Ke

Mi Ke is a scholar working on Spectroscopy, Cell Biology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 36 papers that have together received 430 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (10 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Biotin and Related Studies (6 papers), Advanced Biosensing Techniques and Applications (4 papers), Glycosylation and Glycoproteins Research (3 papers), Ubiquitin and proteasome pathways (3 papers), Mass Spectrometry Techniques and Applications (2 papers) and Atmospheric chemistry and aerosols (2 papers). The work is most often cited by research in Spectroscopy (164 citations), Cell Biology (68 citations), Molecular Biology (242 citations), Aging (6 citations) and Endocrinology (13 citations). Mi Ke has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ruijun Tian, Wendong Chen, Lingjue Wang, Subash Adhikari, Shuai Wang, Pengyuan Yang, Shusheng Luo, Lin Lin, Jie Wu Yang and An He. Their work appears in journals such as Analytical Chemistry, Journal of Proteome Research, The Science of The Total Environment, Nature Chemical Biology and Nature 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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