Huaqin Pan
- Cell Biology top 5%
- Plant Pathogens and Fungal Diseases 3
- Physiology top 5%
- Plant Science top 5%
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks 4
- Fungal and yeast genetics research 4
- Biomedical Text Mining and Ontologies 3
- Glycosylation and Glycoproteins Research 2
- Hematology top 10%
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- Health, Environment, Cognitive Aging 4
- Air Quality and Health Impacts 2
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- Microbial Natural Products and Biosynthesis 2
- Co-authors
- Ralph A. DeanMichael R. ThonBruce A. RoeResham KulkarniSean CoughlanYeonyee OhJan P. DumanskiDarek Kedra
- Cited by
- Cell BiologyPhysiologyPlant Science
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Huaqin Pan
36 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 110
- Cell Biology 286
- Physiology 74
- Plant Science 465
- Molecular Biology 745
- Hematology 100
Countries citing papers authored by Huaqin Pan
This map shows the geographic impact of Huaqin 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 Huaqin Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huaqin Pan more than expected).
Fields of papers citing papers by Huaqin Pan
This network shows the impact of papers produced by Huaqin 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 Huaqin Pan. The network helps show where Huaqin Pan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Huaqin Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 4 | |
| 2 | 2022 | 3 | |
| 3 | 2022 | 1 | |
| 4 | 2019 | 40 | |
| 5 | Evaluating Phenotypic Data Elements for Genetics and Epidemiological Research: Experiences from the eMERGE and PhenX Network Projects | 2013 | 6 |
| 6 | 2012 | 24 | |
| 7 | 2010 | 29 | |
| 8 | 2008 | 147 | |
| 9 | 2006 | 74 | |
| 10 | 2005 | 144 | |
| 11 | 2004 | 71 | |
| 12 | 2002 | 61 | |
| 13 | 2001 | 17 | |
| 14 | 2000 | 13 | |
| 15 | 2000 | 52 | |
| 16 | 1999 | 23 | |
| 17 | 1998 | 44 | |
| 18 | 1996 | 19 | |
| 19 | 1995 | 155 | |
| 20 | 1994 | 27 |
About Huaqin Pan
Huaqin Pan is a scholar working on Periodontics, Health, Toxicology and Mutagenesis and Molecular Biology, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Health, Environment, Cognitive Aging (4 papers), Bioinformatics and Genomic Networks (4 papers), Fungal and yeast genetics research (4 papers), Biomedical Text Mining and Ontologies (3 papers), Plant Pathogens and Fungal Diseases (3 papers), Glycosylation and Glycoproteins Research (2 papers), Air Quality and Health Impacts (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Cell Biology (286 citations), Physiology (74 citations) and Plant Science (465 citations). Huaqin Pan has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Ralph A. Dean, Michael R. Thon, Bruce A. Roe, Resham Kulkarni, Sean Coughlan, Yeonyee Oh, Jan P. Dumanski, Darek Kedra, Thomas K. Mitchell and Nicole Donofrio. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Oncogene.
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.