Daniel R. Gentry

3.0k citations
28 papers · 1.8k indexed · h-index 24

Impact in

Papers in

Daniel R. Gentry

28 papers receiving 1.8k citations

Peers

Daniel R. Gentry
Comparison fields: 5 of 89
  • Genetics 859
  • Endocrinology 157
  • Molecular Medicine 148
  • Molecular Biology 1.3k
  • Infectious Diseases 332
Replace Jolanta Zakrzewska‐Czerwińska with:
Jolanta Zakrzewska‐Czerwińska Poland
Scott D. Mills United States
Christelle M. Roux United States
Philippe Mazodier France
András Miczák Hungary
Yu Luo Canada
Murty V. Madiraju United States
Kevin P. Bertrand United States
Undine Mechold France
Thomas C. Zahrt United States
Daniel R. Gentry relative to Jolanta Zakrzewska‐Czerwińska Poland Jolanta Zakrzewska‐Czerwińska's profile →
Citations per field
00.5×1.5×
Jolanta Zakrzewska‐Czerwińska · 1×
Citations per year

Countries citing papers authored by Daniel R. Gentry

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Gentry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Gentry. 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 Daniel R. Gentry. The network helps show where Daniel R. Gentry may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201024
2 200857
3 200355
4 200356
5 2002151
6 20028
7 200212
8 200185
9 200033
10 199981
11 1996134
12 1996102
13 199536
14 199388
15 199329
16 1993370
17 199134
18 199159
19 199031
20 198631

About Daniel R. Gentry

Daniel R. Gentry is a scholar working on Genetics, Infectious Diseases, Microbiology, Molecular Biology and Small Animals, having authored 28 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (16 papers), RNA and protein synthesis mechanisms (14 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Bacteriophages and microbial interactions (4 papers), Genomics and Phylogenetic Studies (3 papers), Streptococcal Infections and Treatments (3 papers), Bacterial biofilms and quorum sensing (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Genetics (859 citations), Endocrinology (157 citations), Molecular Medicine (148 citations), Molecular Biology (1.3k citations) and Infectious Diseases (332 citations). Daniel R. Gentry has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include Michael Cashel, Richard R. Burgess, Lam H. Nguyen, V. James Hernandez, David Holmes, Stephen Rittenhouse, Thomas Elliott, Lynn McCloskey, Damien McDevitt and Horst Malke. Their work appears in journals such as Journal of Bacteriology, Antimicrobial Agents and Chemotherapy, Journal of Biological Chemistry, Biochemistry and The Journal of Antibiotics.

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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