Hong Pan

3.3k citations
123 papers · 2.0k indexed · h-index 25

Impact in

    • Cancer-related molecular mechanisms research
  • Genetics top 5%
    • Genetics and Neurodevelopmental Disorders

Papers in

    • Genetics and Neurodevelopmental Disorders 30
    • Genomic variations and chromosomal abnormalities 10
    • Genomics and Rare Diseases 7
    • Metabolism and Genetic Disorders 10

Hong Pan

115 papers receiving 1.9k citations

Peers

Hong Pan
Comparison fields: 5 of 113
  • Cancer Research 288
  • Genetics 529
  • Molecular Biology 1.1k
  • Cellular and Molecular Neuroscience 273
  • Pediatrics, Perinatology and Child Health 240
Replace Mark Corbett with:
Mark Corbett Australia
Jillian S. Parboosingh Canada
Leda Dalprà Italy
Geneviève Bernard Canada
Gail E. Graham Canada
Paul Renbaum Israel
Giuseppe Zampino Italy
Jean‐Louis Blouin Switzerland
Sabrina Giglio Italy
Marwan Shinawi United States
Hong Pan relative to Mark Corbett Australia Mark Corbett's profile →
Citations per field
00.5×1.7×
Mark Corbett · 1×
Citations per year

Countries citing papers authored by Hong Pan

Since Specialization
Citations

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

Fields of papers citing papers by Hong Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20233
3 20222
4 202210
5 20208
6 201918
7 20197
8 20169
9 20163
10 201569
11 201445
12 201311
13 201334
14 200840
15 200724
16 200637
17
[X-linked adrenoleukodystrophy ABCD1 gene mutation analysis in China].
20043
18
[Preliminary analysis of mutations in X-linked adrenoleukodystrophy gene(ABCD1) in Chinese patients].
20032
19 2003277
20 200216

About Hong Pan

Hong Pan is a scholar working on Genetics, Clinical Biochemistry, Cancer Research, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 123 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (30 papers), Epigenetics and DNA Methylation (17 papers), Genomic variations and chromosomal abnormalities (10 papers), Metabolism and Genetic Disorders (10 papers), Birth, Development, and Health (9 papers), RNA modifications and cancer (9 papers), Genomics and Rare Diseases (7 papers) and Breast Cancer Treatment Studies (6 papers). The work is most often cited by research in Cancer Research (288 citations), Genetics (529 citations), Molecular Biology (1.1k citations), Cellular and Molecular Neuroscience (273 citations) and Pediatrics, Perinatology and Child Health (240 citations). Hong Pan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xiru Wu, Xinhua Bao, Wenbin Zhou, Yuehua Zhang, Xiaoan Liu, Yuwu Jiang, Joanna D. Holbrook, Husheng Wu, Keming Xu and Xiaoyan Liu. Their work appears in journals such as PLoS ONE, Frontiers in Genetics, Epigenetics, Journal of Child Neurology and European Journal of Medical Genetics.

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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