Hae Ja Shin

28 total papers · 535 total citations
22 papers, 400 citations indexed

About

Hae Ja Shin is a scholar working on Molecular Biology, Biomedical Engineering and Ecology. According to data from OpenAlex, Hae Ja Shin has authored 22 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Biomedical Engineering and 3 papers in Ecology. Recurrent topics in Hae Ja Shin's work include bioluminescence and chemiluminescence research (11 papers), 3D Printing in Biomedical Research (5 papers) and Biosensors and Analytical Detection (5 papers). Hae Ja Shin is often cited by papers focused on bioluminescence and chemiluminescence research (11 papers), 3D Printing in Biomedical Research (5 papers) and Biosensors and Analytical Detection (5 papers). Hae Ja Shin collaborates with scholars based in South Korea and United States. Hae Ja Shin's co-authors include Woon Ki Lim, Mi Na Kim, John L. Mego, Han Do Kim, Won Jin Cho, Eun Ju Kim, Miey Park, Da Young Lee, Tae In Ahn and Jaeho Cho and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Applied Microbiology and Biotechnology and Archives of Biochemistry and Biophysics.

In The Last Decade

Hae Ja Shin

21 papers receiving 379 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 Ja Shin 310 167 62 49 32 22 400
Kang Wu 286 0.9× 100 0.6× 38 0.6× 53 1.1× 14 0.4× 18 379
Kamila Czechowska 211 0.7× 78 0.5× 84 1.4× 59 1.2× 24 0.8× 18 377
Arno Germond 194 0.6× 69 0.4× 34 0.5× 30 0.6× 130 4.1× 23 389
Elke Boschke 160 0.5× 120 0.7× 32 0.5× 16 0.3× 7 0.2× 31 339
Yasunori Kurosawa 278 0.9× 121 0.7× 27 0.4× 23 0.5× 9 0.3× 29 441
Mohamad Reza Razavi 143 0.5× 92 0.6× 17 0.3× 11 0.2× 28 0.9× 21 417
Yuxin Wang 204 0.7× 28 0.2× 39 0.6× 27 0.6× 22 0.7× 34 383
Corie Lok 121 0.4× 36 0.2× 45 0.7× 14 0.3× 5 0.2× 23 367
Matthew D. Servinsky 291 0.9× 198 1.2× 29 0.5× 61 1.2× 15 0.5× 21 391
Hung Nguyen 316 1.0× 83 0.5× 55 0.9× 78 1.6× 8 0.3× 13 434

Countries citing papers authored by Hae Ja Shin

Since Specialization
Citations

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

Fields of papers citing papers by Hae Ja Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hae Ja Shin. 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 Ja Shin. The network helps show where Hae Ja Shin may publish in the future.

Co-authorship network of co-authors of Hae Ja Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Hae Ja Shin. A scholar is included among the top collaborators of Hae Ja Shin 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 Ja Shin. Hae Ja Shin 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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