Congran Li

55 papers receiving 851 citations

Peers

Congran Li
Comparison fields: 5 of 85
  • Molecular Medicine 201
  • Biochemistry 119
  • Microbiology 70
  • Applied Microbiology and Biotechnology 20
  • Endocrinology 52
Replace Ken-Ichi Oinuma with:
Ken-Ichi Oinuma Japan
Qing Wu China
Julieanne M. Bostock United Kingdom
Maarten Vercruysse Switzerland
Xinxin Hu China
Hsueh‐Hsia Lo Taiwan
Jacques Coyette Belgium
Austin S. Nuxoll United States
Laura C. Miller United States
Israel Castillo‐Juárez Mexico
Congran Li relative to Ken-Ichi Oinuma Japan Ken-Ichi Oinuma's profile →
Citations per field
00.5×1.7×
Ken-Ichi Oinuma · 1×
Citations per year

Countries citing papers authored by Congran Li

Since Specialization
Citations

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

Fields of papers citing papers by Congran Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202084
2 200959
3 201455
4 201452
5 200947
6 201143
7 202037
8 201932
9 200931
10 200630
11 201930
12 202229
13 201929
14 201026
15 201621
16 201919
17 202018
18 202017
19 202316
20 202114

About Congran Li

Congran Li is a scholar working on Molecular Biology, Molecular Medicine, Pharmacology, Infectious Diseases and Genetics, having authored 59 papers that have together received 871 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (24 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers), Bacterial biofilms and quorum sensing (9 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Bacterial Genetics and Biotechnology (6 papers), Amino Acid Enzymes and Metabolism (6 papers), Antimicrobial Peptides and Activities (6 papers) and Bacteriophages and microbial interactions (5 papers). The work is most often cited by research in Molecular Medicine (201 citations), Biochemistry (119 citations), Microbiology (70 citations), Applied Microbiology and Biotechnology (20 citations) and Endocrinology (52 citations). Congran Li has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Chung‐Dar Lu, Xuefu You, Xinyi Yang, Xiukun Wang, Xinxin Hu, Jing Pang, Tongying Nie, Guoqing Li, Xi Lü and Weiqing He. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Acta Pharmaceutica Sinica B, Microbiology Spectrum, Journal of Bacteriology and RSC Advances.

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.

Explore authors with similar magnitude of impact