Junbum Kim

1.1k total citations · 1 hit paper
6 papers, 407 citations indexed

About

Junbum Kim is a scholar working on Molecular Biology, Biophysics and Artificial Intelligence. According to data from OpenAlex, Junbum Kim has authored 6 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Biophysics and 2 papers in Artificial Intelligence. Recurrent topics in Junbum Kim's work include Cell Image Analysis Techniques (3 papers), Single-cell and spatial transcriptomics (2 papers) and AI in cancer detection (2 papers). Junbum Kim is often cited by papers focused on Cell Image Analysis Techniques (3 papers), Single-cell and spatial transcriptomics (2 papers) and AI in cancer detection (2 papers). Junbum Kim collaborates with scholars based in United States, Israel and Austria. Junbum Kim's co-authors include Olivier Elemento, André F. Rendeiro, Christopher E. Mason, Jiwoon Park, Hiranmayi Ravichandran, Jonathan Foox, Alain Borczuk, Cem Meydan, Robert E. Schwartz and Sarah Warren and has published in prestigious journals such as Nature, Nature Methods and Genome biology.

In The Last Decade

Junbum Kim

6 papers receiving 402 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The spatial landscape of lung pathology during COVID-19 progression

2021 212 citations André F. Rendeiro, Hiranmayi Ravichandran et al. Nature profile →

Peers

Junbum Kim

MB

ID

IMMUN

NEURO

PRM

Jason Reeves United States

Yannick Van Herck Belgium

Trishe Leong Australia

Masaru Koido Japan

Vasuretha Chandar United States

Mike Bogetofte Barnkob Denmark

Chun Gao China

Swati Satturwar United States

Yanping Huang China

Roger D. G. Malcomson United Kingdom

Jason Reeves United States

Junbum Kim

289 ×1.6

MB

91 ×1.0

ID

109 ×1.8

IMMUN

46 ×1.0

NEURO

66 ×1.5

PRM

Citations per year, relative to Junbum Kim Junbum Kim (= 1×) peers Jason Reeves

Countries citing papers authored by Junbum Kim

Since Specialization

Citations

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

Fields of papers citing papers by Junbum Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junbum Kim

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Noch, Evan, Yuqing Qiu, Hiranmayi Ravichandran, et al.. (2023). Insulin feedback is a targetable resistance mechanism of PI3K inhibition in glioblastoma. Neuro-Oncology. 25(12). 2165–2176. 18 indexed citations

2.

Kim, Junbum, Juan Miguel Mosquera, Scott H. Randell, et al.. (2022). Unsupervised discovery of tissue architecture in multiplexed imaging. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations

3.

Barnes, J. Wesley, Matthew Brendel, Vianne R. Gao, et al.. (2022). A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study. The Lancet Digital Health. 5(1). e28–e40. 65 indexed citations

4.

Park, Jiwoon, Junbum Kim, Charles M. Rice, et al.. (2022). Spatial omics technologies at multimodal and single cell/subcellular level. Genome biology. 23(1). 256–256. 68 indexed citations

5.

Kim, Junbum, Juan Miguel Mosquera, Scott H. Randell, et al.. (2022). Unsupervised discovery of tissue architecture in multiplexed imaging. Nature Methods. 19(12). 1653–1661. 40 indexed citations

6.

Rendeiro, André F., Hiranmayi Ravichandran, Yaron Bram, et al.. (2021). The spatial landscape of lung pathology during COVID-19 progression. Nature. 593(7860). 564–569. 212 indexed citations breakdown →

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