Xiaojing Guan

570 citations
19 papers · 407 · h-index 9

Impact in

Papers in

    • Gut microbiota and health 4
    • Genomics and Phylogenetic Studies 2
    • RNA modifications and cancer 2

Xiaojing Guan

16 papers receiving 405 citations

Peers

Xiaojing Guan
Comparison fields: 5 of 90
  • Biological Psychiatry 36
  • Molecular Biology 263
  • Behavioral Neuroscience 13
  • Cancer Research 51
  • Pharmacology 25
Replace Le Sun with:
Le Sun China
Simone Herp Germany
Zhi-Jian Sun China
Liqing Wang United States
Yuuki Shiomi Japan
Yanting Wu China
Samantha M. Ervin United States
Ting Cai China
Octavio Silva-García Mexico
Hongmei Tang China
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Citations per field
00.5×7.4×
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Citations per year

Countries citing papers authored by Xiaojing Guan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202079
2 201973
3 202172
4 201959
5 202039
6
R&D and Technology Transfer: Firm-Level Evidence from Chinese Industry
200317
7 201513
8 200712
9 202111
10 20158
11 20227
12 20146
13 20206
14 20233
15 20241
16
[Molecular genetic diversity of phytoplankton rbcL gene in Jiaozhou Bay].
20041
17
Study on the genetic diversity and its seasonal variation of phytoplankton in the Jiaozhou Bay
20050
18 20250
19 20250

About Xiaojing Guan

Xiaojing Guan is a scholar working on Molecular Biology, Surgery, Reproductive Medicine, Obstetrics and Gynecology and Genetics, having authored 19 papers that have together received 407 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (4 papers), Gut microbiota and health (4 papers), Endometrial and Cervical Cancer Treatments (3 papers), Genomics and Phylogenetic Studies (2 papers), Genetic diversity and population structure (2 papers), RNA modifications and cancer (2 papers), Animal Nutrition and Physiology (1 paper) and Spine and Intervertebral Disc Pathology (1 paper). The work is most often cited by research in Biological Psychiatry (36 citations), Molecular Biology (263 citations), Behavioral Neuroscience (13 citations), Cancer Research (51 citations) and Pharmacology (25 citations). Xiaojing Guan has collaborated with scholars based in China, United States and Sri Lanka. Frequent co-authors include Xiao Zheng, Haiping Hao, Guangji Wang, Yali Liu, Jianhua Yang, Xiaoying Cai, Qilin Fan, Yuanlong Hou, Wei Wei and Youying Zhang. Their work appears in journals such as Medicine, Biochemical Genetics, Poultry Science, Trends in Molecular Medicine and Nature Communications.

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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