Shoukui Xiang

532 citations
23 papers · 406 · h-index 11

Impact in

Papers in

Shoukui Xiang

23 papers receiving 397 citations

Peers

Shoukui Xiang
Comparison fields: 5 of 76
  • Biological Psychiatry 23
  • Health Informatics 10
  • Reproductive Medicine 51
  • Gastroenterology 29
  • Physiology 91
Replace C.L. Sia with:
C.L. Sia United States
Mário A. Saad Brazil
Shireen Mohammad United Kingdom
Ali-Akbar Saboor-Yaraghi Iran
Ali Akbar Saboor-Yaraghi Iran
Leticia Coín‐Aragüez Spain
Jiaxin Li China
Melany Ríos-Morales Netherlands
Luping Zhou China
Maria Elizabeth Rossi da Silva Brazil
Shoukui Xiang relative to C.L. Sia United States C.L. Sia's profile →
Citations per field
00.5×4.3×
C.L. Sia · 1×
Citations per year

Countries citing papers authored by Shoukui Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Shoukui Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201986
2 201958
3 201242
4 201338
5 202333
6 201532
7 202023
8 202014
9 202014
10 202112
11 202010
12 20219
13 20197
14 20236
15 20216
16 20164
17 20193
18 20232
19 20202
20 20232

About Shoukui Xiang

Shoukui Xiang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Orthopedics and Sports Medicine and Surgery, having authored 23 papers that have together received 406 indexed citations. Recurring topics across this work include Gut microbiota and health (4 papers), Ovarian function and disorders (3 papers), Bone health and osteoporosis research (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Hormonal Regulation and Hypertension (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). The work is most often cited by research in Biological Psychiatry (23 citations), Health Informatics (10 citations), Reproductive Medicine (51 citations), Gastroenterology (29 citations) and Physiology (91 citations). Shoukui Xiang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fei Hua, Xiaohong Jiang, Gaofeng Zhan, Yu Fan, Chun Yang, Wei Han, Bin Zhu, Ling Yang, Ailin Luo and Fei Hua. Their work appears in journals such as Aging, Acta Biochimica et Biophysica Sinica, Neuroscience, Journal of Bone and Mineral Research and Biomarkers in Medicine.

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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