Inhwan Hwang

267 total papers · 16.3k total citations
228 papers, 12.7k citations indexed

About

Inhwan Hwang is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Inhwan Hwang has authored 228 papers receiving a total of 12.7k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Molecular Biology, 100 papers in Plant Science and 48 papers in Cell Biology. Recurrent topics in Inhwan Hwang's work include Photosynthetic Processes and Mechanisms (89 papers), Cellular transport and secretion (45 papers) and Plant Molecular Biology Research (44 papers). Inhwan Hwang is often cited by papers focused on Photosynthetic Processes and Mechanisms (89 papers), Cellular transport and secretion (45 papers) and Plant Molecular Biology Research (44 papers). Inhwan Hwang collaborates with scholars based in South Korea, United States and China. Inhwan Hwang's co-authors include Dae Heon Kim, Yong-Jik Lee, Dong Wook Lee, Yong-Woo Kim, Zheng‐Yi Xu, Jing Bo Jin, Soo Jin Kim, Howard M. Goodman, Ting Dong and Youngmin Park and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Inhwan Hwang

224 papers receiving 12.5k citations

Hit Papers

Activation of Glucosidase... 2006 2026 2012 2019 2006 2007 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Inhwan Hwang 8.9k 8.3k 1.9k 646 615 228 12.7k
Ikuko Hara‐Nishimura 11.0k 1.2× 10.0k 1.2× 2.9k 1.5× 850 1.3× 1.4k 2.2× 256 16.0k
Federica Brandizzí 6.4k 0.7× 5.1k 0.6× 3.9k 2.1× 371 0.6× 666 1.1× 205 9.9k
Stephen H. Howell 6.2k 0.7× 7.5k 0.9× 1.9k 1.0× 213 0.3× 1.1k 1.7× 130 10.6k
Widmar Tanner 7.4k 0.8× 3.6k 0.4× 2.1k 1.1× 328 0.5× 789 1.3× 181 10.4k
Jörg Kudla 11.3k 1.3× 17.6k 2.1× 664 0.4× 348 0.5× 264 0.4× 135 20.8k
Andrew F. Bent 16.5k 1.8× 23.3k 2.8× 1.2k 0.7× 828 1.3× 982 1.6× 97 27.5k
Dae‐Jin Yun 10.0k 1.1× 12.3k 1.5× 625 0.3× 409 0.6× 531 0.9× 265 16.3k
Csaba Koncz 12.0k 1.3× 13.6k 1.6× 666 0.4× 418 0.6× 1.3k 2.1× 145 16.8k
Zhixiang Chen 9.8k 1.1× 14.8k 1.8× 785 0.4× 212 0.3× 613 1.0× 163 17.9k
Gary Stacey 5.5k 0.6× 16.0k 1.9× 563 0.3× 373 0.6× 333 0.5× 317 19.3k

Countries citing papers authored by Inhwan Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Inhwan Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inhwan Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Inhwan Hwang. A scholar is included among the top collaborators of Inhwan Hwang 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 Inhwan Hwang. Inhwan Hwang 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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