Jeffrey Meisner

33 papers receiving 2.0k citations

Peers

Jeffrey Meisner
Comparison fields: 5 of 102
  • Molecular Medicine 97
  • Endocrinology 88
  • Genetics 421
  • Infectious Diseases 212
  • Physical and Theoretical Chemistry 108
Replace Anton P. Le Brun with:
Anton P. Le Brun Australia
Ekaterina M. Nestorovich United States
Thereza A. Soares Brazil
A. Rod Merrill Canada
Lucienne Letellìer France
Christoph G. Baumann United Kingdom
Luke A. Clifton United Kingdom
Kozhinjampara R. Mahendran Germany
Seung Min Yoo South Korea
K. Janko Germany
Jeffrey Meisner relative to Anton P. Le Brun Australia Anton P. Le Brun's profile →
Citations per field
00.5×2.9×
Anton P. Le Brun · 1×
Citations per year

Countries citing papers authored by Jeffrey Meisner

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Meisner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008237
2 2013176
3 2008164
4 2012158
5 2013123
6 2012120
7 2011112
8 200987
9 201284
10 200880
11 200473
12 201560
13 202253
14 201653
15 200746
16 201244
17 200426
18 201426
19 201226
20 200825

About Jeffrey Meisner

Jeffrey Meisner is a scholar working on Molecular Biology, Genetics, Ecology, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 33 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (10 papers), Bacteriophages and microbial interactions (9 papers), Molecular Junctions and Nanostructures (7 papers), RNA and protein synthesis mechanisms (6 papers), Force Microscopy Techniques and Applications (4 papers), Glycosylation and Glycoproteins Research (3 papers), Organic Electronics and Photovoltaics (3 papers) and Carbohydrate Chemistry and Synthesis (3 papers). The work is most often cited by research in Molecular Medicine (97 citations), Endocrinology (88 citations), Genetics (421 citations), Infectious Diseases (212 citations) and Physical and Theoretical Chemistry (108 citations). Jeffrey Meisner has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include Colin Nuckolls, Latha Venkataraman, Michael L. Steigerwald, Markrete Krikorian, Charles P. Moran, Arunabh Batra, David Z. Rudner, Benjamin P. Hay, Orion B. Berryman and Darren W. Johnson. Their work appears in journals such as Nano Letters, Molecular Microbiology, Journal of the American Chemical Society, Nature Communications and Proceedings of the National Academy of Sciences.

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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