C. David Lytle

67 papers receiving 2.0k citations

Peers

C. David Lytle
Comparison fields: 5 of 150
  • Infectious Diseases 536
  • Modeling and Simulation 103
  • General Dentistry 33
  • Dermatology 130
  • Genetics 399
Replace Jose‐Luis Sagripanti with:
Jose‐Luis Sagripanti United States
John D. Noti United States
Chad J. Roy United States
James V. Rogers United States
Hu Shan China
David Lembo Italy
Lunbiao Cui China
Ji Zhang China
Yonat Shemer‐Avni Israel
Ahmed A. Al‐Qahtani Saudi Arabia
C. David Lytle relative to Jose‐Luis Sagripanti United States Jose‐Luis Sagripanti's profile →
Citations per field
00.5×3.5×
Jose‐Luis Sagripanti · 1×
Citations per year

Countries citing papers authored by C. David Lytle

Since Specialization
Citations

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

Fields of papers citing papers by C. David Lytle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005225
2 1993121
3 2020107
4 2007100
5 199085
6 197083
7
Host-cell reactivation in mammalian cells. II. Survival of herpes simplex virus and vaccinia virus in normal human and xeroderma pigmentosum cells.
197271
8 197270
9 201069
10 197169
11 199769
12 197068
13 197868
14 197264
15 197661
16 197757
17 199753
18 198052
19 199549
20 197642

About C. David Lytle

C. David Lytle is a scholar working on General Dentistry, Genetics, Epidemiology, Insect Science and Virology, having authored 68 papers that have together received 2.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (24 papers), Herpesvirus Infections and Treatments (24 papers), Insect and Pesticide Research (9 papers), Photodynamic Therapy Research Studies (8 papers), Cytomegalovirus and herpesvirus research (8 papers), Bacteriophages and microbial interactions (7 papers), Viral gastroenteritis research and epidemiology (6 papers) and Animal Disease Management and Epidemiology (5 papers). The work is most often cited by research in Infectious Diseases (536 citations), Modeling and Simulation (103 citations), General Dentistry (33 citations), Dermatology (130 citations) and Genetics (399 citations). C. David Lytle has collaborated with scholars based in United States, Ireland and Australia. Frequent co-authors include Jose‐Luis Sagripanti, Larry E. Bockstahler, Licia B. Routson, Stuart A. Aaronson, Kiki B. Hellman, William D. Taylor, S. G. Benane, S A Aaronson, J. Coppey and Denise M. Korniewicz. Their work appears in journals such as Photochemistry and Photobiology, Applied and Environmental Microbiology, Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, International Journal of Radiation Biology and Journal of Virology.

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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