D.J. Leibly

977 citations
20 papers · 701 · h-index 14

Impact in

Papers in

    • Protein Structure and Dynamics 5
    • Protein purification and stability 5
    • Biochemical and Molecular Research 4
    • Porphyrin Metabolism and Disorders 2
    • RNA and protein synthesis mechanisms 2
    • Enzyme Structure and Function 6

D.J. Leibly

20 papers receiving 696 citations

Peers

D.J. Leibly
Comparison fields: 5 of 77
  • Parasitology 106
  • Molecular Biology 403
  • Endocrinology 23
  • Physiology 89
  • Infectious Diseases 64
Replace Dagmar Jürgens with:
Dagmar Jürgens Germany
Kojo Mensa‐Wilmot United States
Pierre M. Jean Beltran United States
M. Coincon Canada
Diogo Borges Lima Brazil
Aarti Krishnan Switzerland
Leah S. Torrie United Kingdom
Sandra L. McCutchen‐Maloney United States
Krystal J. Evans Australia
Arihiro Osanai Japan
D.J. Leibly relative to Dagmar Jürgens Germany Dagmar Jürgens's profile →
Citations per field
00.5×9.2×
Dagmar Jürgens · 1×
Citations per year

Countries citing papers authored by D.J. Leibly

Since Specialization
Citations

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

Fields of papers citing papers by D.J. Leibly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.J. Leibly. 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 D.J. Leibly. The network helps show where D.J. Leibly may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2013103
2 201285
3 201280
4 201173
5 201173
6 201251
7 200937
8 201031
9 200930
10 201530
11 201629
12 201528
13 201114
14 201114
15 20118
16 20115
17 20114
18 20133
19 20112
20 20111

About D.J. Leibly

D.J. Leibly is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Infectious Diseases and Oncology, having authored 20 papers that have together received 701 indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), Protein Structure and Dynamics (5 papers), Protein purification and stability (5 papers), Biochemical and Molecular Research (4 papers), Bacterial Genetics and Biotechnology (3 papers), Porphyrin Metabolism and Disorders (2 papers), Burkholderia infections and melioidosis (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Parasitology (106 citations), Molecular Biology (403 citations), Endocrinology (23 citations), Physiology (89 citations) and Infectious Diseases (64 citations). D.J. Leibly has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Wesley C. Van Voorhis, Stephen N. Hewitt, Alberto J. Napuli, Angela Kelley, Ryan Choi, Todd O. Yeates, Lance Stewart, Lin Jiang, Meytal Landau and Cong Liu. Their work appears in journals such as PLoS ONE, eLife, Protein Science, Analytical Biochemistry and SLAS DISCOVERY.

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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