Congrong Li

421 citations
21 papers · 236 · h-index 10

Impact in

Papers in

Congrong Li

20 papers receiving 233 citations

Peers

Congrong Li
Comparison fields: 5 of 54
  • Molecular Medicine 87
  • Applied Microbiology and Biotechnology 24
  • Endocrinology 25
  • Clinical Biochemistry 22
  • Infectious Diseases 41
Replace Trond Egil Ranheim with:
Trond Egil Ranheim Norway
Qiwen Yang China
Takaaki Akasaka Japan
Mikel Mancheño‐Losa Spain
Giulia Errico Italy
Jesús Sojo-Dorado Spain
Alessandro Bondi Italy
Andrés Pérez‐López Qatar
R. Andini Italy
Raúl Recio Spain
Congrong Li relative to Trond Egil Ranheim Norway Trond Egil Ranheim's profile →
Citations per field
00.5×4.9×
Trond Egil Ranheim · 1×
Citations per year

Countries citing papers authored by Congrong Li

Since Specialization
Citations

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

Fields of papers citing papers by Congrong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202025
2 201725
3 201924
4 200323
5 202121
6 202019
7 201916
8 202111
9 201911
10 20209
11 20208
12 20227
13 20207
14 20117
15 20246
16 20224
17 20194
18 20223
19 20243
20
[Drug resistance and genotyping of Klebsiella pneumoniae in lower respiratory tract infection].
20023

About Congrong Li

Congrong Li is a scholar working on Molecular Biology, Molecular Medicine, Infectious Diseases, Genetics and Epidemiology, having authored 21 papers that have together received 236 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Reproductive Biology and Fertility (3 papers), Antifungal resistance and susceptibility (2 papers), Fungal Infections and Studies (2 papers), Reproductive System and Pregnancy (2 papers), Adipose Tissue and Metabolism (2 papers), Epigenetics and DNA Methylation (2 papers) and Bacterial Identification and Susceptibility Testing (2 papers). The work is most often cited by research in Molecular Medicine (87 citations), Applied Microbiology and Biotechnology (24 citations), Endocrinology (25 citations), Clinical Biochemistry (22 citations) and Infectious Diseases (41 citations). Congrong Li has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Yan Li, Dongling Tang, Yun Huang, Zhanguo Chen, Juan Li, Haojun Chen, Qianqian Liu, Dong Zhang, Zhi‐Xia Yang and Yan Li. Their work appears in journals such as Journal of Microbiological Methods, Frontiers in Microbiology, Aging, Journal of Endocrinology and IEEE Transactions on Geoscience and Remote Sensing.

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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