In Jin Ha

90 total papers · 1.7k total citations
72 papers, 1.4k citations indexed

About

In Jin Ha is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, In Jin Ha has authored 72 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 11 papers in Pharmacology and 10 papers in Plant Science. Recurrent topics in In Jin Ha's work include Natural product bioactivities and synthesis (21 papers), Chromatography in Natural Products (9 papers) and Berberine and alkaloids research (7 papers). In Jin Ha is often cited by papers focused on Natural product bioactivities and synthesis (21 papers), Chromatography in Natural Products (9 papers) and Berberine and alkaloids research (7 papers). In Jin Ha collaborates with scholars based in South Korea, United States and Singapore. In Jin Ha's co-authors include Kwang Seok Ahn, Yeong Shik Kim, Yun‐Cheol Na, Young Wan Ha, Doo-Hee Jung, Seok‐Geun Lee, Jae‐Young Um, Yeong Shik Kim, Kwang‐Soo Cho and Young‐Mi Kim and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and The FASEB Journal.

In The Last Decade

In Jin Ha

70 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
In Jin Ha 753 246 174 161 149 72 1.4k
Jin Qi 876 1.2× 374 1.5× 164 0.9× 47 0.3× 107 0.7× 112 1.7k
Xin Chai 595 0.8× 161 0.7× 106 0.6× 42 0.3× 55 0.4× 89 1.2k
Alexander V. Dushkin 302 0.4× 197 0.8× 349 2.0× 88 0.5× 41 0.3× 92 1.2k
Yanping Zhou 521 0.7× 116 0.5× 36 0.2× 43 0.3× 345 2.3× 83 1.5k
Kai Deng 786 1.0× 328 1.3× 33 0.2× 42 0.3× 36 0.2× 92 1.8k
Raj Kumar 361 0.5× 177 0.7× 29 0.2× 252 1.6× 51 0.3× 59 1.5k
Weiwei Su 632 0.8× 167 0.7× 181 1.0× 86 0.5× 49 0.3× 65 1.6k
Guo‐Dong Yao 924 1.2× 236 1.0× 144 0.8× 38 0.2× 16 0.1× 81 1.5k
Chia-Chou Yeh 484 0.6× 121 0.5× 187 1.1× 315 2.0× 14 0.1× 63 1.6k
Gang Ding 753 1.0× 265 1.1× 397 2.3× 18 0.1× 58 0.4× 89 1.7k

Countries citing papers authored by In Jin Ha

Since Specialization
Citations

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

Fields of papers citing papers by In Jin Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In Jin Ha. 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 In Jin Ha. The network helps show where In Jin Ha may publish in the future.

Co-authorship network of co-authors of In Jin Ha

This figure shows the co-authorship network connecting the top 25 collaborators of In Jin Ha. A scholar is included among the top collaborators of In Jin Ha 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 In Jin Ha. In Jin Ha 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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