Ran Guan

2.7k citations
51 papers · 1.2k · h-index 18

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 5
    • Ginseng Biological Effects and Applications 5
    • Milk Quality and Mastitis in Dairy Cows 5
    • Animal Disease Management and Epidemiology 4

Ran Guan

48 papers receiving 1.1k citations

Peers

Ran Guan
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 206
  • Oncology 272
  • Cell Biology 129
  • Molecular Biology 527
  • Cancer Research 100
Replace Daisuke Morishita with:
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Klaudia Steplewski United States
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Ran Guan relative to Daisuke Morishita Japan Daisuke Morishita's profile →
Citations per field
00.5×4.4×
Daisuke Morishita · 1×
Citations per year

Countries citing papers authored by Ran Guan

Since Specialization
Citations

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

Fields of papers citing papers by Ran Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005126
2 200182
3 200978
4 199972
5 200865
6 200760
7 200560
8 200057
9 200354
10 200449
11 200446
12 200646
13 200144
14 200539
15 201734
16 201929
17 201523
18 202019
19 202015
20 200614

About Ran Guan

Ran Guan is a scholar working on Molecular Biology, Agronomy and Crop Science, Genetics, Electrical and Electronic Engineering and Animal Science and Zoology, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (7 papers), Animal Behavior and Welfare Studies (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Quinazolinone synthesis and applications (5 papers), Milk Quality and Mastitis in Dairy Cows (5 papers), Ginseng Biological Effects and Applications (5 papers) and Animal Disease Management and Epidemiology (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (206 citations), Oncology (272 citations), Cell Biology (129 citations), Molecular Biology (527 citations) and Cancer Research (100 citations). Ran Guan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Stuart J. Frank, Vincent L. Giranda, Yan Luo, Gerhard Baumann, Songhua Hu, Roy A. Black, Wei Xu, Saul H. Rosenberg, Daniel Albert and Paul Tapang. Their work appears in journals such as Porcine Health Management, Scientific Reports, Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters and Frontiers in Veterinary Science.

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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