Jin Lü

423 citations
24 papers · 313 · h-index 9

Impact in

Papers in

Jin Lü

21 papers receiving 305 citations

Peers

Jin Lü
Comparison fields: 5 of 68
  • Radiology, Nuclear Medicine and Imaging 96
  • Rehabilitation 18
  • Immunology 55
  • Molecular Biology 149
  • Reproductive Medicine 11
Replace Anna Meyfour with:
Anna Meyfour Iran
Marija Vilaj Croatia
V. Ciolli Italy
Charnell I. Sommers United States
Guillaume Brachet France
C. McKeown United States
Daniel Chauss United States
Lukas T. Henneberg United States
Regula B. Buser Switzerland
Jin Lü relative to Anna Meyfour Iran Anna Meyfour's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jin Lü

Since Specialization
Citations

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

Fields of papers citing papers by Jin Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201461
2 201053
3 200844
4 202331
5 201324
6 200921
7 201016
8 202214
9 20099
10 20247
11 20246
12 20226
13 20166
14 20133
15 20133
16 20052
17 20212
18 20102
19 20111
20
[Pregnancy outcome of frozen-thawed embryo transfers in different endometrial progesterone preparation time].
20141

About Jin Lü

Jin Lü is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Surgery and Oncology, having authored 24 papers that have together received 313 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Circular RNAs in diseases (2 papers), RNA and protein synthesis mechanisms (2 papers), PARP inhibition in cancer therapy (2 papers), Machine Learning in Bioinformatics (2 papers), Business Process Modeling and Analysis (1 paper) and Topological Materials and Phenomena (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (96 citations), Rehabilitation (18 citations), Immunology (55 citations), Molecular Biology (149 citations) and Reproductive Medicine (11 citations). Jin Lü has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Raymond W. Sweet, Ying Wang, Xinwei Cheng, Xiufeng Ling, Junqiang Zhang, Jia Zhou, Minjian Chen, Hongkun Zheng, Lin Zhou and Chun Zhao. Their work appears in journals such as Molecular Immunology, Protein Expression and Purification, BMC Pregnancy and Childbirth, Applied Biochemistry and Biotechnology and Journal of Pharmaceutical and Biomedical Analysis.

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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