Baek-Soo Han

9 total papers · 1.1k total citations
6 papers, 485 citations indexed

About

Baek-Soo Han is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Baek-Soo Han has authored 6 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Baek-Soo Han's work include Signaling Pathways in Disease (2 papers), Nuclear Receptors and Signaling (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Baek-Soo Han is often cited by papers focused on Signaling Pathways in Disease (2 papers), Nuclear Receptors and Signaling (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Baek-Soo Han collaborates with scholars based in South Korea, United States and Israel. Baek-Soo Han's co-authors include Won Kon Kim, Kwang‐Hee Bae, Ole Isacson, Chun-Hyung Kim, Kyoung‐Jin Oh, Sangmi Chung, Jan Pruszak, Mi‐Yoon Chang, Eun‐Woo Lee and Kwang Soo Kim and has published in prestigious journals such as Journal of Biological Chemistry, Cell stem cell and Cell Death and Disease.

In The Last Decade

Baek-Soo Han

6 papers receiving 483 citations

Hit Papers

Quantitative proteomic an... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Baek-Soo Han 353 180 144 121 47 6 485
Nicholas K. Kawasaki 279 0.8× 157 0.9× 145 1.0× 59 0.5× 101 2.1× 7 521
Nina M. Dräger 293 0.8× 52 0.3× 47 0.3× 55 0.5× 43 0.9× 11 501
Jean-Pierre Roperch 334 0.9× 48 0.3× 71 0.5× 56 0.5× 24 0.5× 10 501
Cécile Couriaud 368 1.0× 32 0.2× 65 0.5× 67 0.6× 30 0.6× 8 531
Celia López‐Menéndez 320 0.9× 40 0.2× 88 0.6× 114 0.9× 17 0.4× 13 480
Hirofumi Ishii 220 0.6× 28 0.2× 81 0.6× 61 0.5× 19 0.4× 7 432
Zhenfeng Xu 277 0.8× 36 0.2× 69 0.5× 116 1.0× 47 1.0× 11 528
Bettina Schlick 392 1.1× 56 0.3× 79 0.5× 225 1.9× 21 0.4× 12 531
Claudio Di Sanza 205 0.6× 29 0.2× 76 0.5× 78 0.6× 32 0.7× 12 408
Naoki Yamamoto 276 0.8× 93 0.5× 23 0.2× 77 0.6× 25 0.5× 10 481

Countries citing papers authored by Baek-Soo Han

Since Specialization
Citations

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

Fields of papers citing papers by Baek-Soo Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Baek-Soo Han. 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 Baek-Soo Han. The network helps show where Baek-Soo Han may publish in the future.

Co-authorship network of co-authors of Baek-Soo Han

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026