Michael D. Kim

8.4k citations
54 papers · 1.9k · h-index 21

Impact in

Papers in

Michael D. Kim

49 papers receiving 1.8k citations

Peers

Michael D. Kim
Comparison fields: 5 of 117
  • Aging 44
  • Cellular and Molecular Neuroscience 429
  • Hematology 219
  • Developmental Neuroscience 68
  • Immunology 288
Replace Sachiko Homma with:
Sachiko Homma Japan
Mohammad R. Toliat Germany
André L. Samson Australia
Anthony J. Bakker Australia
Montserrat Vendrell Spain
I‐Shing Yu Taiwan
Marta Llovera Spain
Jens van den Brandt Germany
Zhen Li China
Michele Sanicola United States
Michael D. Kim relative to Sachiko Homma Japan Sachiko Homma's profile →
Citations per field
00.5×2.7×
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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005412
2 2007213
3 2006154
4 2006103
5 2017100
6 201997
7 201358
8 201349
9 201947
10 201141
11 200940
12 201536
13 201936
14 200234
15 201533
16 201530
17 201029
18 202227
19 201725
20 202022

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 54 papers that have together received 1.9k 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 (8 papers), Neonatal Respiratory Health Research (7 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Tracheal and airway disorders (5 papers), Asthma and respiratory diseases (5 papers) and Vascular Procedures and Complications (4 papers). The work is most often cited by research in Aging (44 citations), Cellular and Molecular Neuroscience (429 citations), Hematology (219 citations), Developmental Neuroscience (68 citations) and Immunology (288 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, K. W. Annie Bang, John Freedman and Heyu Ni. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Blood, Pediatric Pulmonology, Genes & Development and American Journal of Physiology-Lung Cellular and Molecular Physiology.

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