Kwanho Kim

1.1k total citations
13 papers, 264 citations indexed

About

Kwanho Kim is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Kwanho Kim has authored 13 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Neurology. Recurrent topics in Kwanho Kim's work include Single-cell and spatial transcriptomics (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and CCD and CMOS Imaging Sensors (2 papers). Kwanho Kim is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and CCD and CMOS Imaging Sensors (2 papers). Kwanho Kim collaborates with scholars based in United States, South Korea and Italy. Kwanho Kim's co-authors include Joshua Z. Levin, Paola Arlotta, Jeffrey A. Stogsdill, Samouil L. Farhi, Loïc Binan, Tyler Faits, Jason D. Buenrostro, Martina Pigoni, Xian Adiconis and Aviv Regev and has published in prestigious journals such as Nature, Cell and Nature Neuroscience.

In The Last Decade

Kwanho Kim

10 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kwanho Kim United States 8 140 68 46 46 37 13 264
Tushar Kamath United States 3 167 1.2× 79 1.2× 81 1.8× 22 0.5× 19 0.5× 8 296
Ceyda Llapashtica Netherlands 3 104 0.7× 110 1.6× 29 0.6× 29 0.6× 66 1.8× 3 254
Zhao-Zhe Hao China 8 135 1.0× 80 1.2× 39 0.8× 45 1.0× 39 1.1× 12 253
Emre Lacin United States 5 203 1.4× 85 1.3× 96 2.1× 87 1.9× 23 0.6× 6 318
Kaelan Cotter United States 2 221 1.6× 61 0.9× 89 1.9× 27 0.6× 40 1.1× 2 367
Yizhi Wang United States 8 102 0.7× 83 1.2× 116 2.5× 32 0.7× 10 0.3× 14 293
Hana Hříbková Czechia 11 190 1.4× 21 0.3× 64 1.4× 56 1.2× 15 0.4× 15 283
Lisa Zou United States 6 222 1.6× 86 1.3× 126 2.7× 130 2.8× 17 0.5× 10 388
Alejandro Mossi Albiach Sweden 3 278 2.0× 57 0.8× 24 0.5× 59 1.3× 40 1.1× 3 352
Raissa Timmerman Netherlands 7 160 1.1× 197 2.9× 61 1.3× 79 1.7× 92 2.5× 11 385

Countries citing papers authored by Kwanho Kim

Since Specialization
Citations

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

Fields of papers citing papers by Kwanho Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kwanho Kim

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

All Works

13 of 13 papers shown
1.
Li, Jie, et al.. (2026). In vivo multiomic Perturb-seq with enhanced nuclear gRNA capture. bioRxiv (Cold Spring Harbor Laboratory).
2.
Domıńguez-Iturza, Nuria, Jeffrey A. Stogsdill, Tyler Faits, et al.. (2024). Fetal brain response to maternal inflammation requires microglia. Development. 151(10). 16 indexed citations
4.
Pigoni, Martina, Ana Uzquiano, Bruna Paulsen, et al.. (2023). Cell-type specific defects inPTEN-mutant cortical organoids converge on abnormal circuit activity. Human Molecular Genetics. 32(18). 2773–2786. 13 indexed citations
5.
Kim, Kwanho, et al.. (2023). Genetic Algorithm based Obstacle Avoidance for 4-Wheeled Robot. 297–300. 1 indexed citations
7.
Yuan, Wen, Sai Ma, Juliana Brown, et al.. (2022). Temporally divergent regulatory mechanisms govern neuronal diversification and maturation in the mouse and marmoset neocortex. Nature Neuroscience. 25(8). 1049–1058. 20 indexed citations
8.
Uzquiano, Ana, Amanda J. Kedaigle, Martina Pigoni, et al.. (2022). Proper acquisition of cell class identity in organoids allows definition of fate specification programs of the human cerebral cortex. Cell. 185(20). 3770–3788.e27. 114 indexed citations
9.
Stogsdill, Jeffrey A., Kwanho Kim, Loïc Binan, et al.. (2022). Pyramidal neuron subtype diversity governs microglia states in the neocortex. Nature. 608(7924). 750–756. 69 indexed citations
10.
DeBlasio, Dan, Kwanho Kim, & Carl Kingsford. (2020). More Accurate Transcript Assembly via Parameter Advising. Journal of Computational Biology. 27(8). 1181–1189. 3 indexed citations
11.
Kim, Kwanho, et al.. (2013). Revenue maximizing itemset construction for online shopping services. Industrial Management & Data Systems. 113(1). 96–116. 9 indexed citations
12.
Kim, Kwanho, et al.. (2009). A Configurable Heterogeneous Multicore Architecture With Cellular Neural Network for Real-Time Object Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 19(11). 1612–1622. 10 indexed citations
13.
Kim, Joo-Young, Kwanho Kim, Seungjin Lee, Minsu Kim, & Hoi‐Jun Yoo. (2008). A 66fps 3 8mW nearest neighbor matching processor with hierarchical VQ algorithm for real-time object recognition. 177–180. 9 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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