Hae‐Jin Hu

43 total papers · 710 total citations
24 papers, 438 citations indexed

About

Hae‐Jin Hu is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Hae‐Jin Hu has authored 24 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Physiology. Recurrent topics in Hae‐Jin Hu's work include Genomic variations and chromosomal abnormalities (6 papers), Prenatal Screening and Diagnostics (3 papers) and Diet and metabolism studies (3 papers). Hae‐Jin Hu is often cited by papers focused on Genomic variations and chromosomal abnormalities (6 papers), Prenatal Screening and Diagnostics (3 papers) and Diet and metabolism studies (3 papers). Hae‐Jin Hu collaborates with scholars based in South Korea, United States and China. Hae‐Jin Hu's co-authors include Seon‐Hee Yim, Yeun‐Jun Chung, Seung-Hak Cho, Ji Hong Kim, Han Byul Jang, Sin‐Gi Park, Jae‐Heon Kang, Sang Ick Park, Kyung‐Hee Park and Min-Kyu Choi and has published in prestigious journals such as Bioinformatics, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Hae‐Jin Hu

24 papers receiving 433 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hae‐Jin Hu 254 143 91 49 45 24 438
Marta Sobalska‐Kwapis 201 0.8× 106 0.7× 53 0.6× 86 1.8× 45 1.0× 35 464
Marcin Słomka 191 0.8× 117 0.8× 39 0.4× 38 0.8× 28 0.6× 29 404
Ciaren Graham 203 0.8× 80 0.6× 23 0.3× 45 0.9× 54 1.2× 24 486
Meytal Liberman 159 0.6× 138 1.0× 60 0.7× 32 0.7× 10 0.2× 19 414
Jean Rousseaux 138 0.5× 107 0.7× 37 0.4× 58 1.2× 11 0.2× 22 414
Qing Mu 144 0.6× 63 0.4× 37 0.4× 17 0.3× 26 0.6× 33 392
Hongmei Yang 178 0.7× 27 0.2× 68 0.7× 43 0.9× 80 1.8× 18 385
G. Gérard 138 0.5× 65 0.5× 96 1.1× 25 0.5× 11 0.2× 21 482
Yunxuan Jiang 144 0.6× 148 1.0× 97 1.1× 72 1.5× 24 0.5× 16 414
Thomas Walsh 212 0.8× 70 0.5× 19 0.2× 26 0.5× 52 1.2× 26 487

Countries citing papers authored by Hae‐Jin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Hae‐Jin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hae‐Jin Hu. 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 Hae‐Jin Hu. The network helps show where Hae‐Jin Hu may publish in the future.

Co-authorship network of co-authors of Hae‐Jin Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Hae‐Jin Hu. A scholar is included among the top collaborators of Hae‐Jin Hu 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 Hae‐Jin Hu. Hae‐Jin Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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