Peter W. Kim

34 papers receiving 1.8k citations

Peers

Peter W. Kim
Comparison fields: 5 of 118
  • Applied Microbiology and Biotechnology 36
  • Cellular and Molecular Neuroscience 289
  • Immunology 334
  • Molecular Biology 1.1k
  • Plant Science 508
Replace Yosuke Harada with:
Yosuke Harada Japan
Seiji Murakami Japan
Jianhua He China
Dayong Gu China
Xian-De Liu United States
Yumeng Yan China
C. Nicole Rosenzweig United States
Daniel R. Beniac Canada
Bei Jia China
Hyunsung Kim South Korea
Peter W. Kim relative to Yosuke Harada Japan Yosuke Harada's profile →
Citations per field
00.5×8.2×
Yosuke Harada · 1×
Citations per year

Countries citing papers authored by Peter W. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Peter W. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011266
2 2018216
3 2003209
4 2017107
5 201185
6 201576
7 201175
8 200375
9 201169
10 201463
11 201261
12 201154
13 201052
14 201240
15 201340
16 201335
17 200533
18 201433
19 201230
20 201330

About Peter W. Kim

Peter W. Kim is a scholar working on Molecular Biology, Plant Science, Renewable Energy, Sustainability and the Environment, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Light effects on plants (15 papers), Photosynthetic Processes and Mechanisms (11 papers), Algal biology and biofuel production (7 papers), Photoreceptor and optogenetics research (7 papers), Biocrusts and Microbial Ecology (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Electrowetting and Microfluidic Technologies (4 papers) and Microfluidic and Capillary Electrophoresis Applications (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (36 citations), Cellular and Molecular Neuroscience (289 citations), Immunology (334 citations), Molecular Biology (1.1k citations) and Plant Science (508 citations). Peter W. Kim has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Delmar S. Larsen, J. Clark Lagarias, Nathan C. Rockwell, Shelley S. Martin, Anup K. Singh, Nathan J. Hillson, Stephen C. Blacklow, Zhenyu Sun, Michael J. Eck and Gerhard Wagner. Their work appears in journals such as Biochemistry, Clinical Infectious Diseases, The Journal of Physical Chemistry B, The Journal of Physical Chemistry Letters and Lab on a Chip.

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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