Xiaoman Yang

1.6k citations
60 papers · 1.2k · h-index 17

Impact in

Papers in

Xiaoman Yang

57 papers receiving 1.2k citations

Peers

Xiaoman Yang
Comparison fields: 5 of 115
  • Aging 105
  • Endocrine and Autonomic Systems 114
  • Physiology 300
  • Neurology 91
  • Cellular and Molecular Neuroscience 143
Replace Seiji Ishii with:
Seiji Ishii Japan
Kirsten P. Stone United States
Rachel M. Sullivan United States
Sunita Sharma India
Anna-Karin Gerdin United Kingdom
Ruth Marx United States
Atsushi Tsujimura Japan
Daniela Platano Italy
János Barna Hungary
Minghao Jiang China
Xiaoman Yang relative to Seiji Ishii Japan Seiji Ishii's profile →
Citations per field
00.5×2×4×5.8×
Seiji Ishii · 1×
Citations per year

Countries citing papers authored by Xiaoman Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoman Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009190
2 2011130
3 201976
4 200670
5 200467
6 200360
7 200659
8 202044
9 202139
10 201437
11 201933
12 202028
13 202125
14 201825
15 200923
16 202222
17 202321
18 202317
19 202217
20 201916

About Xiaoman Yang

Xiaoman Yang is a scholar working on Neurology, Cellular and Molecular Neuroscience, Endocrinology, Endocrine and Autonomic Systems and Molecular Medicine, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (11 papers), Neuroscience and Neuropharmacology Research (8 papers), Vibrio bacteria research studies (7 papers), Nerve injury and regeneration (7 papers), Neurological disorders and treatments (6 papers), Regulation of Appetite and Obesity (5 papers), Gut microbiota and health (4 papers) and Antibiotic Resistance in Bacteria (4 papers). The work is most often cited by research in Aging (105 citations), Endocrine and Autonomic Systems (114 citations), Physiology (300 citations), Neurology (91 citations) and Cellular and Molecular Neuroscience (143 citations). Xiaoman Yang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Nir Barzilai, Gil Atzmon, Radhika H. Muzumdar, Xiaohui Ma, Lei Shi, Daji Guo, Xuebing Cao, Patricia Myriam Vuguin, Sigal Fishman and Francine Hughes Einstein. Their work appears in journals such as Frontiers in Aging Neuroscience, Behavioural Brain Research, Diabetes, Proceedings of the National Academy of Sciences and PLoS Pathogens.

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