Kehong Zhang

1.9k citations
57 papers · 1.5k indexed · h-index 21
Topics
Neurotransmitter Receptor Influence on Behavior (22 papers)Receptor Mechanisms and Signaling (15 papers)Neuroscience and Neuropharmacology Research (12 papers)

In The Last Decade

Kehong Zhang

56 papers receiving 1.5k citations

Peers

Kehong Zhang
Comparison fields: 5 of 129
  • Cellular and Molecular Neuroscience 869
  • Psychiatry and Mental health 608
  • Molecular Biology 443
  • Cognitive Neuroscience 369
  • Pharmacology 108
Replace Xiaoyan Xu with:
Xiaoyan Xu United States
Howard H. Gu United States
Karmen K. Yoder United States
Peter Riederer Germany
Ludmyla Kandratavicius Brazil
Takashi Shiroyama Japan
T.J. Crow United Kingdom
Y. Claustre France
Richard M. Zweig United States
Branimir Jernej Croatia
Kehong Zhang relative to Xiaoyan Xu United States Xiaoyan Xu's profile →
Citations per field
00.5×1.5×2.1×
Xiaoyan Xu · 1×
Citations per year

Countries citing papers authored by Kehong Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Kehong Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kehong Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Kehong Zhang. A scholar is included among the top collaborators of Kehong Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kehong Zhang. Kehong Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 25
4 2
5
Preparation and Properties of Boron Phenolics/Wood Composites
1
6 28
7 17
8 38
9 73
10 26
11 78
12 10
13 46
14 10
15 92
16 8
17 4
18 18
19 3
20 9

About Kehong Zhang

Kehong Zhang is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Psychiatry and Mental health, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (22 papers), Receptor Mechanisms and Signaling (15 papers) and Neuroscience and Neuropharmacology Research (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (869 citations), Biological Psychiatry (107 citations) and Psychiatry and Mental health (608 citations). Kehong Zhang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Frank I. Tarazi, Ross J. Baldessarini, Eugen Davids, Nora S. Kula, R J Baldessarini, Kaifu Luo, Hilarie C. Tomasiewicz, Tracie A. Paine, William A. Carlezon and Xinchun Chen. Their work appears in journals such as The Journal of Chemical Physics, Biological Psychiatry and Brain Research.

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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