Baohan Pan

19 papers receiving 572 citations

Peers

Baohan Pan
Comparison fields: 5 of 68
  • Developmental Neuroscience 76
  • Complementary and alternative medicine 102
  • Behavioral Neuroscience 40
  • Cellular and Molecular Neuroscience 190
  • Endocrine and Autonomic Systems 58
Replace Hitoshi Kashiba with:
Hitoshi Kashiba Japan
Stefano Sartini Italy
Zhong-Qiu Zhao United States
Chih-Wei Wu Taiwan
Melissa Zwick United States
P. de Koning Netherlands
Ivan L. Salazar Portugal
Ryuji Terayama Japan
Yanlei Hao China
Helge C. Johannssen Switzerland
Baohan Pan relative to Hitoshi Kashiba Japan Hitoshi Kashiba's profile →
Citations per field
00.5×
Hitoshi Kashiba · 1×
Citations per year

Countries citing papers authored by Baohan Pan

Since Specialization
Citations

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

Fields of papers citing papers by Baohan Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2005165
2 201088
3 199668
4 199746
5 199443
6 199940
7 201726
8 202024
9 201523
10 200520
11 201617
12 202312
13 20078
14 20187
15 20142
16 20241
17 20181
18 20141
19 19991

About Baohan Pan

Baohan Pan is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Endocrine and Autonomic Systems, Behavioral Neuroscience and Developmental Neuroscience, having authored 19 papers that have together received 593 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (4 papers), Neuroscience of respiration and sleep (4 papers), Stress Responses and Cortisol (4 papers), Pain Mechanisms and Treatments (3 papers), Nerve injury and regeneration (3 papers), Acupuncture Treatment Research Studies (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and Skin and Cellular Biology Research (2 papers). The work is most often cited by research in Developmental Neuroscience (76 citations), Complementary and alternative medicine (102 citations), Behavioral Neuroscience (40 citations), Cellular and Molecular Neuroscience (190 citations) and Endocrine and Autonomic Systems (58 citations). Baohan Pan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Antonio Coimbra, José Manuel Castro‐Lopes, John W. Griffin, Thomas O. Crawford, Ellen J. Hess, Ronald L. Schnaar, Kazim A. Sheikh, Susan Fromholt, Mohamed H. Farah and Paul N. Hoffman. Their work appears in journals such as Neurology, Experimental Neurology, The Journal of Comparative Neurology, Plastic & Reconstructive Surgery and Diabetes.

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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