Litai Jin

2.3k citations
81 papers · 1.8k · h-index 23

Impact in

Papers in

    • Fibroblast Growth Factor Research 18
    • Glycosylation and Glycoproteins Research 16
    • Advanced biosensing and bioanalysis techniques 9
    • Kruppel-like factors research 9
    • Molecular Biology Techniques and Applications 7
    • Advanced Proteomics Techniques and Applications 21
    • Mass Spectrometry Techniques and Applications 11

Litai Jin

78 papers receiving 1.8k citations

Peers

Litai Jin
Comparison fields: 5 of 118
  • Geriatrics and Gerontology 105
  • Rehabilitation 175
  • Molecular Biology 1.0k
  • Cancer Research 154
  • Clinical Biochemistry 68
Replace Weitao Cong with:
Weitao Cong China
Éva Szabó Hungary
Hua Li China
Jiandong Luo China
Shuai Huang China
Hyae Gyeong Cheon South Korea
Kyong‐Oh Shin South Korea
Xiaoli Li China
Ting C. Zhao United States
Simona Zarini United States
Litai Jin relative to Weitao Cong China Weitao Cong's profile →
Citations per field
00.5×1.5×
Weitao Cong · 1×
Citations per year

Countries citing papers authored by Litai Jin

Since Specialization
Citations

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

Fields of papers citing papers by Litai Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019158
2 2019117
3 201293
4 201991
5 201380
6 200968
7 201461
8 201360
9 201359
10 201756
11 202151
12 201846
13 202044
14 201343
15 201740
16 202139
17 202336
18 201035
19 201533
20 201630

About Litai Jin

Litai Jin is a scholar working on Molecular Biology, Spectroscopy, Cancer Research, Cell Biology and Radiology, Nuclear Medicine and Imaging, having authored 81 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (21 papers), Fibroblast Growth Factor Research (18 papers), Glycosylation and Glycoproteins Research (16 papers), Mass Spectrometry Techniques and Applications (11 papers), Advanced biosensing and bioanalysis techniques (9 papers), Kruppel-like factors research (9 papers), Molecular Biology Techniques and Applications (7 papers) and Trace Elements in Health (7 papers). The work is most often cited by research in Geriatrics and Gerontology (105 citations), Rehabilitation (175 citations), Molecular Biology (1.0k citations), Cancer Research (154 citations) and Clinical Biochemistry (68 citations). Litai Jin has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Weitao Cong, Xiaokun Li, Zhongxin Zhu, Yi Tan, Yingjie Shen, Jung‐Kap Choi, Lu Cai, Jia Sun, Chao Niu and Xu Wang. Their work appears in journals such as Electrophoresis, Analytical Biochemistry, PLoS ONE, Journal of Investigative Dermatology and The Analyst.

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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