Junbum Kim

1.2k citations
7 papers · 749 · 2 hit papers · h-index 7

Impact in

  • Biophysics top 5%
    • Cell Image Analysis Techniques
    • Immune responses and vaccinations
    • Immune cells in cancer

Papers in

Junbum Kim

7 papers receiving 737 citations

Junbum Kim's Hit Papers

Epigenetic memory of coronavirus infection in innate immune cells and their progenitors 2023 · 187 citations
1870+1+3Years since publication50100150200250

Peers

Junbum Kim
Comparison fields: 5 of 89
  • Biophysics 54
  • Immunology 174
  • Infectious Diseases 137
  • Neurology 82
  • Health Informatics 8
Replace Yered H. Pita-Juárez with:
Yered H. Pita-Juárez United States
Thu Elizabeth Duong United States
Robin Fropf United States
Annelies Emmaneel Belgium
Katrien L. A. Quintelier Belgium
Tobias Hoch Switzerland
Domenic Abbondanza United States
Pourya Naderi Yeganeh United States
Frank Penkava United Kingdom
Mariana Pereira Pinho Brazil
Junbum Kim relative to Yered H. Pita-Juárez United States Yered H. Pita-Juárez's profile →
Citations per field
00.5×2×2.7×
Yered H. Pita-Juárez · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Junbum Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junbum Kim Line = papers co-authored together Junbum Kim links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
The spatial landscape of lung pathology during COVID-19 progression
Hit paper breakdown →
2021273
2
Epigenetic memory of coronavirus infection in innate immune cells and their progenitors
Hit paper breakdown →
2023187
3 202289
4 202275
5 202257
6 202444
7 202324

About Junbum Kim

Junbum Kim is a scholar working on Biophysics, Infectious Diseases, Oncology, Obstetrics and Gynecology and Cancer Research, having authored 7 papers that have together received 749 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Cell Image Analysis Techniques (2 papers), Long-Term Effects of COVID-19 (1 paper), Cancer Genomics and Diagnostics (1 paper), COVID-19 Clinical Research Studies (1 paper), Gene Regulatory Network Analysis (1 paper), Immune responses and vaccinations (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Biophysics (54 citations), Immunology (174 citations), Infectious Diseases (137 citations), Neurology (82 citations) and Health Informatics (8 citations). Junbum Kim has collaborated with scholars based in Israel, United States and Austria. Frequent co-authors include Olivier Elemento, Rendeiro André, Jiwoon Park, Christopher E. Mason, Hiranmayi Ravichandran, Vasuretha Chandar, Cem Meydan, Yaron Bram, Eric C Swanson and Alain Borczuk. Their work appears in journals such as The Lancet Digital Health, Neuro-Oncology, Nature Methods, Nature and Nature Medicine.

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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