Cheri M. Ackerman

3.0k citations
17 papers · 2.0k indexed · 1 hit paper · h-index 14

Cheri M. Ackerman

16 papers receiving 1.9k citations

Hit Papers

Massively multiplexed nucleic acid detection with Cas135922020202620222024100200300400500

Peers

Cheri M. Ackerman
Comparison fields: 5 of 123
  • Nutrition and Dietetics 398
  • Electrochemistry 104
  • Business and International Management 33
  • Spectroscopy 263
  • Molecular Biology 1.0k
Replace Julian C. Rutherford with:
Julian C. Rutherford United Kingdom
Francesco Musiani Italy
Tracy Nevitt Portugal
Rui Ma China
Peter T. Chivers United States
Keith A. McCall United States
Fadi Bou‐Abdallah United States
Francesca Cantini Italy
Laura S. Busenlehner United States
Ji‐Chun Yang United Kingdom
Cheri M. Ackerman relative to Julian C. Rutherford United Kingdom Julian C. Rutherford's profile →
Citations per field
00.5×3.0×
Julian C. Rutherford · 1×
Citations per year

Countries citing papers authored by Cheri M. Ackerman

Since Specialization
Citations

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

Fields of papers citing papers by Cheri M. Ackerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheri M. Ackerman. 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 Cheri M. Ackerman. The network helps show where Cheri M. Ackerman may publish in the future.

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20250
2 202226
3 202251
4 202193
5 20211
6
Massively multiplexed nucleic acid detection with Cas13breakdown →
2020592
7 201934
8 2019185
9 2018127
10 201831
11 2017137
12 201739
13 2016174
14 2016151
15 2016149
16 2016153
17 201412

About Cheri M. Ackerman

Cheri M. Ackerman is a scholar working on Electrochemistry, Nutrition and Dietetics and Spectroscopy, having authored 17 papers that have together received 2.0k indexed citations. Recurring topics across this work include Trace Elements in Health (7 papers), Advanced biosensing and bioanalysis techniques (4 papers), CRISPR and Genetic Engineering (4 papers), Molecular Sensors and Ion Detection (3 papers), Electrochemical Analysis and Applications (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), DNA and Biological Computing (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Nutrition and Dietetics (398 citations), Electrochemistry (104 citations) and Business and International Management (33 citations). Cheri M. Ackerman has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include Christopher J. Chang, Paul C. Blainey, Sumin Lee, Sri Gowtham Thakku, Jared Kehe, Anthony Kulesa, Cameron Myhrvold, Pardis C. Sabeti, David Yang and Hayden C. Metsky. Their work appears in journals such as Nature Chemical Biology, Proceedings of the National Academy of Sciences, Journal of the American Chemical Society, Analytical Chemistry and Nature.

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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