Steve Kim
Impact in
- Bioengineering top 2%
- Analytical Chemistry and Sensors
- Urology top 5%
Papers in
-
- Semiconductor materials and devices 9
- Gas Sensing Nanomaterials and Sensors 8
- Silicon and Solar Cell Technologies 8
- Electrochemical sensors and biosensors 7
-
- Advanced Chemical Sensor Technologies 11
- Co-authors
- Rajesh R. Naik (26 shared papers)Michael Brothers (20 shared papers)Claude C. Grigsby (4 shared papers)A. Rohatgi (5 shared papers)Aziz Shaikh (4 shared papers)Mohamed M. Hilali (3 shared papers)Ahmad E. Islam (8 shared papers)Zhifeng Kuang (8 shared papers)
- Journals
- The Journal of Urology (6 papers)Sensors (5 papers)ACS Applied Materials & Interfaces (4 papers)ACS Nano (3 papers)ACS Sensors (3 papers)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Steve Kim
85 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 137
- Bioengineering 149
- Urology 98
- Biomedical Engineering 622
- Electrical and Electronic Engineering 659
- Electrochemistry 63
Countries citing papers authored by Steve Kim
This map shows the geographic impact of Steve 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 Steve Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Kim more than expected).
Fields of papers citing papers by Steve Kim
This network shows the impact of papers produced by Steve 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 Steve Kim. The network helps show where Steve Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 153 | |
| 2 | 2006 | 114 | |
| 3 | 2022 | 110 | |
| 4 | 2005 | 107 | |
| 5 | 2008 | 95 | |
| 6 | 2000 | 79 | |
| 7 | 2017 | 65 | |
| 8 | 2001 | 60 | |
| 9 | 2017 | 58 | |
| 10 | 2013 | 54 | |
| 11 | 2011 | 52 | |
| 12 | 2012 | 51 | |
| 13 | 2018 | 48 | |
| 14 | 2016 | 42 | |
| 15 | 2015 | 41 | |
| 16 | 2015 | 37 | |
| 17 | 2013 | 36 | |
| 18 | 2016 | 35 | |
| 19 | 2018 | 34 | |
| 20 | 2007 | 34 |
About Steve Kim
Steve Kim is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Molecular Biology, Bioengineering and Materials Chemistry, having authored 92 papers that have together received 1.9k indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (17 papers), Advanced biosensing and bioanalysis techniques (15 papers), Advanced Chemical Sensor Technologies (11 papers), Graphene research and applications (9 papers), Semiconductor materials and devices (9 papers), Gas Sensing Nanomaterials and Sensors (8 papers), Silicon and Solar Cell Technologies (8 papers) and Electrochemical sensors and biosensors (7 papers). The work is most often cited by research in Bioengineering (149 citations), Urology (98 citations), Biomedical Engineering (622 citations), Electrical and Electronic Engineering (659 citations) and Electrochemistry (63 citations). Steve Kim has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Rajesh R. Naik, Michael Brothers, Claude C. Grigsby, A. Rohatgi, Aziz Shaikh, Mohamed M. Hilali, Ahmad E. Islam, Zhifeng Kuang, Barry L. Farmer and Jai Kyoung Sim. Their work appears in journals such as The Journal of Urology, Sensors, ACS Applied Materials & Interfaces, ACS Nano and ACS Sensors.
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.