Fu Du

48 papers receiving 3.3k citations

Peers

Fu Du
Comparison fields: 5 of 95
  • Biological Psychiatry 502
  • Developmental Neuroscience 351
  • Psychiatry and Mental health 1.1k
  • Cellular and Molecular Neuroscience 494
  • Behavioral Neuroscience 55
Replace Samantha J. Fung with:
Samantha J. Fung Australia
Jan-Harry Cabungcal Switzerland
Ina Weiner Israel
Natalya A. Uranova Russia
Michael Harte United Kingdom
Hendrik Bielau Germany
Charles A. Hoeffer United States
Satoko Hattori Japan
Leisa A. Glantz United States
Minae Niwa United States
Fu Du relative to Samantha J. Fung Australia Samantha J. Fung's profile →
Citations per field
00.5×1.5×2.0×
Samantha J. Fung · 1×
Citations per year

Countries citing papers authored by Fu Du

Since Specialization
Citations

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

Fields of papers citing papers by Fu Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000506
2 2004356
3 1993306
4 1995305
5 1999243
6 2012165
7 2011150
8 1992108
9 199278
10 199075
11 200473
12 201170
13 199262
14 201961
15 199360
16 200657
17 199853
18 199350
19 201446
20 199144

About Fu Du

Fu Du is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience, Psychiatry and Mental health, Neurology and Neurology, having authored 48 papers that have together received 3.4k indexed citations. Recurring topics across this work include Epilepsy research and treatment (11 papers), Tryptophan and brain disorders (11 papers), Neuroscience and Neuropharmacology Research (9 papers), Traumatic Brain Injury Research (4 papers), Neuropeptides and Animal Physiology (4 papers), Phosphodiesterase function and regulation (3 papers), Memory and Neural Mechanisms (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Biological Psychiatry (502 citations), Developmental Neuroscience (351 citations), Psychiatry and Mental health (1.1k citations), Cellular and Molecular Neuroscience (494 citations) and Behavioral Neuroscience (55 citations). Fu Du has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Robert M. Schwarcz, Husseini K. Manji, Tore Eid, Grażyna Rajkowska, Guang Chen, Navid Seraji‐Bozorgzad, Robert M. Schwarcz, Etsuo Okuno, Vidita A. Vaidya and C. Köhler. Their work appears in journals such as The Journal of Comparative Neurology, Neuroscience, Journal of Neuroscience, Journal of Neuropathology & Experimental Neurology and Journal of Neurophysiology.

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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