Byeong-Won Kim

454 total citations
9 papers, 363 citations indexed

About

Byeong-Won Kim is a scholar working on Epidemiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Byeong-Won Kim has authored 9 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in Byeong-Won Kim's work include Autophagy in Disease and Therapy (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Legionella and Acanthamoeba research (2 papers). Byeong-Won Kim is often cited by papers focused on Autophagy in Disease and Therapy (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Legionella and Acanthamoeba research (2 papers). Byeong-Won Kim collaborates with scholars based in South Korea and Japan. Byeong-Won Kim's co-authors include Hyun Kyu Song, Do Hoon Kwon, Seung‐Beom Hong, Jun Hoe Kim, Joon Kim, Hyesung Jeon, Kyung-Eun Lee, Eui‐Ju Choi, Seongman Kang and Ick Young Kim and has published in prestigious journals such as Nature Communications, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Byeong-Won Kim

9 papers receiving 362 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Byeong-Won Kim South Korea	8	238	187	84	71	36	9	363
Elena Marcassa United Kingdom	7	250 1.1×	179 1.0×	82 1.0×	49 0.7×	21 0.6×	7	342
Elena Seranova United Kingdom	6	251 1.1×	136 0.7×	80 1.0×	41 0.6×	27 0.8×	7	395
Natalia Yu. Rogova Germany	9	326 1.4×	333 1.8×	126 1.5×	15 0.2×	22 0.6×	10	536
Ignacio Guerrero‐Ros United States	7	264 1.1×	121 0.6×	91 1.1×	73 1.0×	15 0.4×	8	369
Supansa Pantoom Germany	12	129 0.5×	213 1.1×	66 0.8×	57 0.8×	9 0.3×	15	372
Karthik Maddi Germany	5	335 1.4×	313 1.7×	197 2.3×	30 0.4×	38 1.1×	5	620
Kirsty M. Hooper United Kingdom	6	147 0.6×	117 0.6×	70 0.8×	46 0.6×	11 0.3×	10	284
Aileen Ariosa United States	10	190 0.8×	240 1.3×	60 0.7×	27 0.4×	8 0.2×	11	358
Petra Schlotterhose Germany	8	281 1.2×	313 1.7×	277 3.3×	44 0.6×	28 0.8×	8	498
Nira Amar Israel	6	181 0.8×	178 1.0×	136 1.6×	23 0.3×	22 0.6×	6	356

Countries citing papers authored by Byeong-Won Kim

Since Specialization

Citations

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

Fields of papers citing papers by Byeong-Won Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Byeong-Won Kim. 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 Byeong-Won Kim. The network helps show where Byeong-Won Kim may publish in the future.

Co-authorship network of co-authors of Byeong-Won Kim

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

All Works

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9 of 9 papers shown

Kim, Byeong-Won, Jun Hoe Kim, Seongman Kang, et al.. (2018). The C-terminal region of ATG101 bridges ULK1 and PtdIns3K complex in autophagy initiation. Autophagy. 14(12). 2104–2116. 43 indexed citations

Kwon, Do Hoon, et al.. (2017). A novel conformation of the LC3-interacting region motif revealed by the structure of a complex between LC3B and RavZ. Biochemical and Biophysical Research Communications. 490(3). 1093–1099. 24 indexed citations

Kim, Byeong-Won, Yang Ouk Jung, Min Kyung Kim, et al.. (2017). ACCORD: an assessment tool to determine the orientation of homodimeric coiled-coils. Scientific Reports. 7(1). 43318–43318. 7 indexed citations

Kim, Byeong-Won, Do Hoon Kwon, & Hyun Kyu Song. (2016). Structure biology of selective autophagy receptors. BMB Reports. 49(2). 73–80. 47 indexed citations

Kwon, Do Hoon, Yang Ouk Jung, Byeong-Won Kim, et al.. (2016). The 1:2 complex between RavZ and LC3 reveals a mechanism for deconjugation of LC3 on the phagophore membrane. Autophagy. 13(1). 70–81. 36 indexed citations

Kim, Byeong-Won, Seung‐Beom Hong, Jun Hoe Kim, Do Hoon Kwon, & Hyun Kyu Song. (2013). Structural basis for recognition of autophagic receptor NDP52 by the sugar receptor galectin-8. Nature Communications. 4(1). 1613–1613. 87 indexed citations

Hong, Seung‐Beom, Byeong-Won Kim, Jun Hoe Kim, & Hyun Kyu Song. (2012). Structure of the autophagic E2 enzyme Atg10. Acta Crystallographica Section D Biological Crystallography. 68(10). 1409–1417. 26 indexed citations

Lee, Byung‐Gil, Min Kyung Kim, Byeong-Won Kim, Se Won Suh, & Hyun Kyu Song. (2012). Structures of the ribosome-inactivating protein from barley seeds reveal a unique activation mechanism. Acta Crystallographica Section D Biological Crystallography. 68(11). 1488–1500. 8 indexed citations

Hong, Seung‐Beom, Byeong-Won Kim, Kyung-Eun Lee, et al.. (2011). Insights into noncanonical E1 enzyme activation from the structure of autophagic E1 Atg7 with Atg8. Nature Structural & Molecular Biology. 18(12). 1323–1330. 85 indexed citations

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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