Haijun Han

766 citations
33 papers · 578 · h-index 14

Impact in

Papers in

    • Nicotinic Acetylcholine Receptors Study 8
    • Epigenetics and DNA Methylation 3
    • Wnt/β-catenin signaling in development and cancer 2
    • Smoking Behavior and Cessation 6

Haijun Han

30 papers receiving 576 citations

Peers

Haijun Han
Comparison fields: 5 of 110
  • Biological Psychiatry 79
  • Developmental Neuroscience 39
  • Health, Toxicology and Mutagenesis 108
  • Water Science and Technology 76
  • Behavioral Neuroscience 19
Replace José Salas-Pacheco with:
José Salas-Pacheco Mexico
Russell L. Blaylock United States
Lauren L. Jones United States
Stepan Melnyk United States
Patricia Vieyra-Reyes Mexico
Mohammad Ali Arif Pakistan
Sevgi Eskiocak Türkiye
Pilar Fernández‐Mateos Spain
Yuemei Feng China
Melissa Rose United States
Haijun Han relative to José Salas-Pacheco Mexico José Salas-Pacheco's profile →
Citations per field
00.5×3.3×
José Salas-Pacheco · 1×
Citations per year

Countries citing papers authored by Haijun Han

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020112
2 201670
3 201460
4 201554
5 201732
6 201625
7 201419
8 202118
9 201817
10 201915
11 202214
12 201914
13 201813
14 201913
15 201511
16 201811
17 201710
18 20249
19 20259
20 20219

About Haijun Han

Haijun Han is a scholar working on Molecular Biology, Physiology, Genetics, Cellular and Molecular Neuroscience and Epidemiology, having authored 33 papers that have together received 578 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (8 papers), Smoking Behavior and Cessation (6 papers), Hepatitis B Virus Studies (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Epigenetics and DNA Methylation (3 papers), Hepatitis C virus research (3 papers), Fluoride Effects and Removal (3 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Biological Psychiatry (79 citations), Developmental Neuroscience (39 citations), Health, Toxicology and Mutagenesis (108 citations), Water Science and Technology (76 citations) and Behavioral Neuroscience (19 citations). Haijun Han has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ming D. Li, Zhongli Yang, Guangying Luo, Jundong Wang, Bing‐Rui Zhou, Chong Wang, Zilong Sun, Zhiwei Bao, Jingjing Li and Shaolin Wang. Their work appears in journals such as Scientific Reports, Molecular Psychiatry, Frontiers in Psychiatry, Biological Trace Element Research and Toxicology.

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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