Michael D. Kim

8.3k citations
51 papers · 1.8k · h-index 20

Impact in

Papers in

Michael D. Kim

48 papers receiving 1.8k citations

Peers

Michael D. Kim
Comparison fields: 5 of 121
  • Aging 44
  • Cellular and Molecular Neuroscience 427
  • Hematology 226
  • Immunology 323
  • Developmental Neuroscience 63
Replace Sachiko Homma with:
Sachiko Homma Japan
Mohammad R. Toliat Germany
Francesc Miró‐Mur Spain
Zhenyu Li China
Keith R. Anderson United States
Gábor Szalai United States
Chikara Shimizu Japan
Guohua Zhao China
Yinghua Tian Switzerland
Usha Ponnappan United States
Michael D. Kim relative to Sachiko Homma Japan Sachiko Homma's profile →
Citations per field
00.5×
Sachiko Homma · 1×
Citations per year

Countries citing papers authored by Michael D. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael D. 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 Michael D. Kim Line = papers co-authored together Michael D. Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005391
2 2007205
3 2006147
4 200698
5 201797
6 201990
7 201357
8 201349
9 201945
10 201140
11 200938
12 201536
13 200234
14 201932
15 201532
16 201029
17 201529
18 202226
19 201724
20 202020

About Michael D. Kim

Michael D. Kim is a scholar working on Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience, Biophysics, Molecular Biology and Physiology, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (14 papers), Cell Image Analysis Techniques (11 papers), Cystic Fibrosis Research Advances (6 papers), Neonatal Respiratory Health Research (6 papers), Asthma and respiratory diseases (5 papers), Vascular Procedures and Complications (5 papers), Advanced Fluorescence Microscopy Techniques (5 papers) and Tracheal and airway disorders (4 papers). The work is most often cited by research in Aging (44 citations), Cellular and Molecular Neuroscience (427 citations), Hematology (226 citations), Immunology (323 citations) and Developmental Neuroscience (63 citations). Michael D. Kim has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Yuh Nung Jan, Jay Z. Parrish, Lily Yeh Jan, Kazuo Emoto, John W. Semple, Rukhsana Aslam, Edwin R. Speck, Alan H. Lazarus, Heyu Ni and Frederick P. Nestel. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Blood, Scientific Reports, Molecular and Cellular Neuroscience and International Journal of Molecular Sciences.

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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