Leslie Knipling

1.1k citations
32 papers · 910 · h-index 16

Impact in

Papers in

    • RNA and protein synthesis mechanisms 10
    • Chemical Synthesis and Analysis 3
    • Bacillus and Francisella bacterial research 3
    • 14-3-3 protein interactions 3
    • Bacterial Genetics and Biotechnology 12

Leslie Knipling

31 papers receiving 896 citations

Peers

Leslie Knipling
Comparison fields: 5 of 87
  • Cell Biology 265
  • Microbiology 95
  • Molecular Biology 620
  • Endocrinology 38
  • Pharmacology 97
Replace Darcie J. Miller with:
Darcie J. Miller United States
Shinya Hanashima Japan
Warren J. Rocque United States
Koto Hayakawa Canada
Mireille Moutiez France
Guangyu Zhu United States
Seema Dalal United States
S.M. Soisson United States
Matthias Weiwad Germany
Martine Knibiehler France
Leslie Knipling relative to Darcie J. Miller United States Darcie J. Miller's profile →
Citations per field
00.5×2.9×
Darcie J. Miller · 1×
Citations per year

Countries citing papers authored by Leslie Knipling

Since Specialization
Citations

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

Fields of papers citing papers by Leslie Knipling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993135
2 1993123
3 200292
4 198870
5 199654
6 199151
7 200548
8 199137
9 199935
10 199025
11 199224
12 200623
13 199622
14 200020
15 201518
16 199516
17 201312
18 200212
19 198912
20 201511

About Leslie Knipling

Leslie Knipling is a scholar working on Molecular Biology, Genetics, Cell Biology, Ecology and Microbiology, having authored 32 papers that have together received 910 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (12 papers), Microtubule and mitosis dynamics (10 papers), RNA and protein synthesis mechanisms (10 papers), Bacteriophages and microbial interactions (6 papers), Bacterial Infections and Vaccines (6 papers), Chemical Synthesis and Analysis (3 papers), Bacillus and Francisella bacterial research (3 papers) and 14-3-3 protein interactions (3 papers). The work is most often cited by research in Cell Biology (265 citations), Microbiology (95 citations), Molecular Biology (620 citations), Endocrinology (38 citations) and Pharmacology (97 citations). Leslie Knipling has collaborated with scholars based in United States, France and Germany. Frequent co-authors include J. Wolff, Dan L. Sackett, J. Wolff, Fabrizio Gentile, Deborah M. Hinton, Giuseppe Palumbo, H. J. Cahnmann, Jennifer Hwang, Peter McPhie and Meng‐Lun Hsieh. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Proceedings of the National Academy of Sciences, Infection and Immunity and Protein Science.

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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