Fu De Yang

52 papers receiving 1.6k citations

Peers

Fu De Yang
Comparison fields: 5 of 105
  • Biological Psychiatry 424
  • Behavioral Neuroscience 152
  • Psychiatry and Mental health 401
  • Endocrinology, Diabetes and Metabolism 186
  • Neurology 91
Replace Н. А. Бохан with:
Н. А. Бохан Russia
Dubravka Švob Štrac Croatia
Patricia Gassó Spain
Nico J.M. van Beveren Netherlands
C.W. Gerth Germany
Sergi Mas Spain
Roger B. Varela Brazil
Gordana Nedić Erjavec Croatia
Lian Yuan Cao China
David Freitas de Lucena Brazil
Fu De Yang relative to Н. А. Бохан Russia Н. А. Бохан's profile →
Citations per field
00.5×4.8×
Н. А. Бохан · 1×
Citations per year

Countries citing papers authored by Fu De Yang

Since Specialization
Citations

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

Fields of papers citing papers by Fu De Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012140
2 1992105
3 201294
4 199776
5 201271
6 201465
7 201659
8 201459
9 201255
10 201249
11 201648
12 201345
13 201045
14 200142
15 200136
16 201136
17 201636
18 201236
19 201935
20 201333

About Fu De Yang

Fu De Yang is a scholar working on Psychiatry and Mental health, Molecular Biology, Biological Psychiatry, Cognitive Neuroscience and Clinical Psychology, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (18 papers), Tryptophan and brain disorders (14 papers), Bipolar Disorder and Treatment (5 papers), Stress Responses and Cortisol (5 papers), Estrogen and related hormone effects (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Hormonal Regulation and Hypertension (3 papers) and Steroid Chemistry and Biochemistry (3 papers). The work is most often cited by research in Biological Psychiatry (424 citations), Behavioral Neuroscience (152 citations), Psychiatry and Mental health (401 citations), Endocrinology, Diabetes and Metabolism (186 citations) and Neurology (91 citations). Fu De Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mei Hong Xiu, Da Chun Chen, Xiang Yang Zhang, Thomas R. Kosten, Yun Tan, Therese A. Kosten, Sheng‐Xiang Lin, Jair C. Soares, Shu Ping Tan and Xiangyang Zhang. Their work appears in journals such as Psychopharmacology, Journal of Psychiatric Research, Schizophrenia Research, Psychiatry Research and Brain Behavior and Immunity.

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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