Haiyun Gan

4.0k total citations · 1 hit paper
42 papers, 2.6k citations indexed

About

Haiyun Gan is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Haiyun Gan has authored 42 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Genetics. Recurrent topics in Haiyun Gan's work include Genomics and Chromatin Dynamics (21 papers), DNA Repair Mechanisms (14 papers) and Epigenetics and DNA Methylation (14 papers). Haiyun Gan is often cited by papers focused on Genomics and Chromatin Dynamics (21 papers), DNA Repair Mechanisms (14 papers) and Epigenetics and DNA Methylation (14 papers). Haiyun Gan collaborates with scholars based in United States, China and Hong Kong. Haiyun Gan's co-authors include Zhiguo Zhang, Chuanhe Yu, Fang Dong, Jann N. Sarkaria, C. David James, Sabine Mueller, Rintaro Hashizume, Nalin Gupta, Kui Ming Chan and Xiwen Lin and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Haiyun Gan

40 papers receiving 2.6k citations

Hit Papers

The histone H3.3K27M mutation in pediatric glioma reprogr... 2013 2026 2017 2021 2013 100 200 300 400

Peers

Haiyun Gan
Comparison fields: 5 of 99
  • Molecular Biology 2.1k
  • Genetics 554
  • Cancer Research 438
  • Genetics 285
  • Neurology 162
Replace Marc A. Morgan with:
Marc A. Morgan United States
Elizabeth T. Bartom United States
Richard P. Koche United States
Lawryn H. Kasper United States
Hilda A. Pickett Australia
Karen D. Tsuchiya United States
Geoffrey G. Hicks Canada
Sharon Boast United States
Manuel Sánchez‐Martín Spain
Jean-Marc Lemaı̂tre France
Marc A. Morgan United States View profile →
Citations per field, relative to Haiyun Gan
Haiyun Gan · 1×
Citations per year, relative to Haiyun Gan
Haiyun Gan · 1×

Countries citing papers authored by Haiyun Gan

Since Specialization
Citations

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

Fields of papers citing papers by Haiyun Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyun Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Haiyun Gan. A scholar is included among the top collaborators of Haiyun Gan 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 Haiyun Gan. Haiyun Gan 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
# Work Indexed citations
1 0
2 23
3 29
4 30
5 4
6 13
7 9
8 18
9 55
10 171
11 137
12 198
13 9
14 66
15 32
16 81
17 347
18 32
19 83
20 5

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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