Kepler Mears

445 citations
7 papers · 279 · 1 hit paper · h-index 6

Impact in

Papers in

Kepler Mears

7 papers receiving 274 citations

Kepler Mears's Hit Papers

Uncovering the functional diversity of rare CRISPR-Cas systems with deep terascale clustering 2023 · 92 citations
920+1+2Years since publication255075

Peers

Kepler Mears
Comparison fields: 5 of 49
  • Business and International Management 7
  • Molecular Biology 217
  • Aging 5
  • Immunology 47
  • Ecology 28
Replace Jiyoung Goo with:
Jiyoung Goo South Korea
Sandra Nakandakari-Higa United States
Akshay Tambe United States
Bo-kyung Jin Belgium
Baskaran Anand India
Radwa Ewaisha United States
Weiya Bai China
Jianpo Xu China
Xinmin Zheng China
Dan Liao China
Kepler Mears relative to Jiyoung Goo South Korea Jiyoung Goo's profile →
Citations per field
00.5×
Jiyoung Goo · 1×
Citations per year

Countries citing papers authored by Kepler Mears

Since Specialization
Citations

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

Fields of papers citing papers by Kepler Mears

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kepler Mears. 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 Kepler Mears. The network helps show where Kepler Mears may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Uncovering the functional diversity of rare CRISPR-Cas systems with deep terascale clustering
Hit paper breakdown →
202392
2 202365
3 201565
4 202319
5 202518
6 202515
7
Experimental and mathematical evidence that thrombin-binding aptamers form a 1 aptamer:2 protein complex.
20185

About Kepler Mears

Kepler Mears is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Ecology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 7 papers that have together received 279 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), CRISPR and Genetic Engineering (4 papers), RNA Interference and Gene Delivery (2 papers), Viral Infections and Immunology Research (1 paper), interferon and immune responses (1 paper), Immunotherapy and Immune Responses (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Business and International Management (7 citations), Molecular Biology (217 citations), Aging (5 citations), Immunology (47 citations) and Ecology (28 citations). Kepler Mears has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Han Altae-Tran, Rhiannon K. Macrae, Soumya Kannan, Rebecca J. Whelan, Feng Zhang, F. Esra Demircioglu, Eugene V. Koonin, Jamie Shallcross, Rachel Oshiro and Kira S. Makarova. Their work appears in journals such as Cell, Nature Biotechnology, Science, Analytical and Bioanalytical Chemistry and The CRISPR Journal.

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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