Haifan Lin

18.9k citations
132 papers · 14.3k indexed · 6 hit papers · h-index 58
Topics
Chromosomal and Genetic Variations (56 papers)CRISPR and Genetic Engineering (42 papers)Developmental Biology and Gene Regulation (22 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Haifan Lin

128 papers receiving 14.0k citations

Hit Papers

A novel class of evolutionarily conserved genes defined b...199720262006201619982002200620041997250500750

Peers

Haifan Lin
Comparison fields: 5 of 146
  • Molecular Biology 11.9k
  • Plant Science 5.8k
  • Genetics 2.6k
  • Cancer Research 2.5k
  • Public Health, Environmental and Occupational Health 863
Replace Dónal O’Carroll with:
Dónal O’Carroll United Kingdom
Mikiko C. Siomi Japan
Kathrin Plath United States
Haruhiko Siomi Japan
John C. Schimenti United States
Julius Brennecke Austria
Eric C. Lai United States
Joanna Wysocka United States
Alexei A. Aravin United States
Ruth Lehmann United States
Haifan Lin relative to Dónal O’Carroll United Kingdom Dónal O’Carroll's profile →
Citations per field
00.5×1.5×2.5×
Dónal O’Carroll · 1×
Citations per year

Countries citing papers authored by Haifan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Haifan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haifan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Haifan Lin. A scholar is included among the top collaborators of Haifan Lin 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 Haifan Lin. Haifan Lin 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
#WorkIndexed citations
1 0
2 1
3 14
4 63
5 22
6 13
7 32
8 191
9 146
10 28
11 39
12 51
13 46
14 150
15 112
16 68
17 143
18 199
19 212
20 6

About Haifan Lin

Haifan Lin is a scholar working on Aging, Plant Science and Molecular Biology, having authored 132 papers that have together received 14.3k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (56 papers), CRISPR and Genetic Engineering (42 papers) and Developmental Biology and Gene Regulation (22 papers). The work is most often cited by research in Aging (505 citations), Molecular Biology (11.9k citations) and Cancer Research (2.5k citations). Haifan Lin has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Allan C. Spradling, Wei Deng, Daniel N. Cox, Vamsi K. Gangaraju, Hang Yin, Anna Chao, Ergin Beyret, Travis Thomson, Zhong Wang and Toshiaki Watanabe. Their work appears in journals such as Nature, Science and Cell.

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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