Michael Jin Casey

55 papers receiving 1.2k citations

Peers

Michael Jin Casey
Comparison fields: 5 of 137
  • Transplantation 197
  • Cell Biology 172
  • Molecular Biology 629
  • Nephrology 54
  • Aging 11
Replace Birte S. Steiniger with:
Birte S. Steiniger Germany
Andrew B. Civitello United States
Florian Frommlet Austria
Mirjana Radosavljevic France
Xiting Yan United States
Amanda Fernández‐Rodríguez Spain
Brian J. Manning Ireland
Xiaohu Wang China
John B. Sharefkin United States
Michael Jin Casey relative to Birte S. Steiniger Germany Birte S. Steiniger's profile →
Citations per field
00.5×2×3×4×4.9×
Birte S. Steiniger · 1×
Citations per year

Countries citing papers authored by Michael Jin Casey

Since Specialization
Citations

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

Fields of papers citing papers by Michael Jin Casey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994381
2 1994214
3 201487
4 202056
5 200053
6 201445
7 201143
8 201433
9 201932
10 201630
11 202124
12 201320
13 201720
14 201318
15 200517
16 198716
17 200816
18 201415
19 201714
20 201613

About Michael Jin Casey

Michael Jin Casey is a scholar working on Transplantation, Ocean Engineering, Nephrology, Public Health, Environmental and Occupational Health and Surgery, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (18 papers), Maritime Navigation and Safety (8 papers), Organ Donation and Transplantation (6 papers), Inertial Sensor and Navigation (5 papers), GNSS positioning and interference (5 papers), Dialysis and Renal Disease Management (4 papers), Remote Sensing and LiDAR Applications (3 papers) and Construction Engineering and Safety (3 papers). The work is most often cited by research in Transplantation (197 citations), Cell Biology (172 citations), Molecular Biology (629 citations), Nephrology (54 citations) and Aging (11 citations). Michael Jin Casey has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Mark A. Peifer, Eric F. Wieschaus, Li‐Mei Pai, Herwig‐Ulf Meier‐Kriesche, Xuerong Wen, Karl L. Womer, Bryan E Bledsoe, Larry D. Johnson, Liise K. Kayler and Patrick S. Stumpf. Their work appears in journals such as Transplant International, Transplantation, American Journal of Transplantation, Clinical Journal of the American Society of Nephrology and Current Opinion in Nephrology & Hypertension.

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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