John C. March

47 papers receiving 2.8k citations

John C. March's Hit Papers

Engineered probiotic Escherichia coli can eliminate and prevent Pseudomonas aeruginosa gut infection in animal models 2017 · 348 citations
3480+3+6Years since publication100200300

Peers

John C. March
Comparison fields: 5 of 131
  • Biotechnology 306
  • Endocrinology 155
  • Biomedical Engineering 1.1k
  • Molecular Biology 1.4k
  • Food Science 305
Replace Zhenping Cao with:
Zhenping Cao China
Mark Mimee United States
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Seung‐Hwan Park South Korea
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Countries citing papers authored by John C. March

Since Specialization
Citations

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

Fields of papers citing papers by John C. March

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. March. 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 John C. March. The network helps show where John C. March may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Engineered probiotic Escherichia coli can eliminate and prevent Pseudomonas aeruginosa gut infection in animal models
Hit paper breakdown →
2017348
2 2010284
3 2010211
4 2015201
5 2012153
6 2004148
7 2012135
8 2005133
9 2014122
10 2003116
11 201498
12 202286
13 201583
14 200874
15 201760
16 200256
17 201854
18 200839
19 201439
20 201335

About John C. March

John C. March is a scholar working on Molecular Biology, Genetics, Endocrinology, Biomedical Engineering and Surgery, having authored 47 papers that have together received 2.8k indexed citations. Recurring topics across this work include Escherichia coli research studies (9 papers), 3D Printing in Biomedical Research (9 papers), Vibrio bacteria research studies (6 papers), Gut microbiota and health (6 papers), Cancer Cells and Metastasis (6 papers), Bacterial Genetics and Biotechnology (5 papers), Pancreatic function and diabetes (5 papers) and Tissue Engineering and Regenerative Medicine (5 papers). The work is most often cited by research in Biotechnology (306 citations), Endocrinology (155 citations), Biomedical Engineering (1.1k citations), Molecular Biology (1.4k citations) and Food Science (305 citations). John C. March has collaborated with scholars based in United States, Singapore and South Korea. Frequent co-authors include William E. Bentley, Faping Duan, Jiajie Yu, Dan Luo, Michael L. Shuler, Jong Hwan Sung, Matthew Wook Chang, In Young Hwang, Yung Seng Lee and Cait M. Costello. Their work appears in journals such as Biotechnology and Bioengineering, Current Opinion in Biotechnology, Applied and Environmental Microbiology, Infection and Immunity and Analytical Biochemistry.

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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