C. Jin

1.1k citations
12 papers · 841 · h-index 8

Impact in

  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
    • Cellular transport and secretion
    • Ubiquitin and proteasome pathways
    • Machine Learning in Bioinformatics
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies

Papers in

    • Genomics and Chromatin Dynamics 3
    • Machine Learning in Bioinformatics 2
    • RNA and protein synthesis mechanisms 2
    • Genomics and Phylogenetic Studies 2
    • Advanced biosensing and bioanalysis techniques 1

C. Jin

11 papers receiving 834 citations

Peers

C. Jin
Comparison fields: 5 of 103
  • Cell Biology 183
  • Molecular Biology 555
  • Parasitology 44
  • Aging 9
  • Physiology 17
Replace Benoı̂t Roger with:
Benoı̂t Roger France
Caroline Mas France
Chrysanthe Gaitatzes United States
Danny M. Chou United States
Karel Koberna Czechia
Joppe Nieuwenhuis Netherlands
Arnoud J. Kal Netherlands
Thomas Taus Austria
Reed Kelso United States
Lori W. Schoenfeld United States
C. Jin relative to Benoı̂t Roger France Benoı̂t Roger's profile →
Citations per field
00.5×2.8×
Benoı̂t Roger · 1×
Citations per year

Countries citing papers authored by C. Jin

Since Specialization
Citations

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

Fields of papers citing papers by C. Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2008462
2 2010191
3 200863
4 200750
5 201226
6 200821
7 202311
8 202110
9
[Spectral characteristics of solar radiation in broadleaved Korean pine forest in Changbai Mountain].
20003
10 20252
11 20151
12
[Cloning and expression of maltooligosyltrehalose synthase from Sulfolobus acidocaldarius in Escherichia coli].
20011

About C. Jin

C. Jin is a scholar working on Molecular Biology, Ecology, Atmospheric Science, Cell Biology and Global and Planetary Change, having authored 12 papers that have together received 841 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Machine Learning in Bioinformatics (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Plant Water Relations and Carbon Dynamics (2 papers), Microtubule and mitosis dynamics (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Cell Biology (183 citations), Molecular Biology (555 citations), Parasitology (44 citations), Aging (9 citations) and Physiology (17 citations). C. Jin has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Yu Xue, Jian Ren, Longping Wen, Xuebiao Yao, Xinjiao Gao, Jun Cao, Zexian Liu, Qian Ma, R. Wang and Xiang Gao. Their work appears in journals such as Protein Engineering Design and Selection, Oncogene, Nature Biomedical Engineering, International Journal of Remote Sensing and Photosynthetica.

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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