Ling Guo

84 papers receiving 2.7k citations

Peers

Ling Guo
Comparison fields: 5 of 144
  • Molecular Medicine 491
  • Endocrinology 231
  • Neurology 341
  • Biological Psychiatry 62
  • Clinical Biochemistry 159
Replace Mikhail F. ALEXEYEV with:
Mikhail F. ALEXEYEV United States
Catharine A. Ortori United Kingdom
Yongxiang Zhang China
Klaus Eschrich Germany
Yujiong Wang China
Francesca Fanelli Italy
Iekhsan Othman Malaysia
Kaj Albermann Germany
Yuewen Chen China
Qian Wang China
Ling Guo relative to Mikhail F. ALEXEYEV United States Mikhail F. ALEXEYEV's profile →
Citations per field
00.5×2×3.4×
Mikhail F. ALEXEYEV · 1×
Citations per year

Countries citing papers authored by Ling Guo

Since Specialization
Citations

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

Fields of papers citing papers by Ling Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004141
2 2006130
3 2013113
4 2001111
5 2005110
6 2001107
7 200588
8 201486
9 200085
10 201285
11 200675
12 201768
13 201663
14 200159
15 200657
16 201353
17 201952
18 200151
19 200947
20 201747

About Ling Guo

Ling Guo is a scholar working on Molecular Medicine, Neurology, Waste Management and Disposal, Molecular Biology and Physiology, having authored 85 papers that have together received 2.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (16 papers), Alzheimer's disease research and treatments (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Constructed Wetlands for Wastewater Treatment (9 papers), Biofuel production and bioconversion (7 papers), S100 Proteins and Annexins (6 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Molecular Medicine (491 citations), Endocrinology (231 citations), Neurology (341 citations), Biological Psychiatry (62 citations) and Clinical Biochemistry (159 citations). Ling Guo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Linda Van Eldik, Jiyong Yang, Mary Jo LaDu, Yanping Luo, Liyan Ye, Daniel Martin Watterson, Edward C. Cox, Ido Golding, Patrick S. Schnable and Jeffrey M. Craft. Their work appears in journals such as Neurobiology of Aging, Food Bioscience, Annals of Clinical Microbiology and Antimicrobials, Virology Journal and Journal of Medical Microbiology.

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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