DV Lightner
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Immunology top 1%
- Aquaculture disease management and microbiota
- Invertebrate Immune Response Mechanisms
Papers in
- Immunology 30
- Invertebrate Immune Response Mechanisms 29
- Aquaculture disease management and microbiota 17
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- Insect symbiosis and bacterial influences 11
- Co-authors
- KFJ Tang (16 shared papers)CR Pantoja (11 shared papers)RM Redman (9 shared papers)Liem Tran (1 shared paper)K. Fitzsimmons (1 shared paper)L. Nunan (1 shared paper)David H. Lewis (1 shared paper)J‐R Bonami (3 shared papers)
- Journals
- Diseases of Aquatic Organisms (37 papers)PubMed (1 paper)
- Partner nations
- United StatesThailandFrance
In The Last Decade
DV Lightner
39 papers receiving 2.4k citations
DV Lightner's Hit Papers
Peers
Comparison fields: 5 of 77
- Endocrinology 598
- Immunology 2.2k
- Aquatic Science 696
- Insect Science 501
- Ecology 360
Countries citing papers authored by DV Lightner
This map shows the geographic impact of DV Lightner'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 DV Lightner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DV Lightner more than expected).
Fields of papers citing papers by DV Lightner
This network shows the impact of papers produced by DV Lightner. 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 DV Lightner. The network helps show where DV Lightner may publish in the future.
Co-authors
The 23 scholars most cited alongside DV Lightner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Determination of the infectious nature of the agent of acute hepatopancreatic necrosis syndrome affecting penaeid shrimp Hit paper breakdown → | 2013 | 790 |
| 2 | 2014 | 282 | |
| 3 | 2007 | 104 | |
| 4 | 2005 | 104 | |
| 5 | 1995 | 93 | |
| 6 | A Septicemic Bacterial Disease Syndrome of Penaeid Shrimp | 1975 | 85 |
| 7 | 1999 | 81 | |
| 8 | 2003 | 72 | |
| 9 | 1999 | 72 | |
| 10 | 2007 | 70 | |
| 11 | 1999 | 65 | |
| 12 | 1988 | 64 | |
| 13 | 1998 | 55 | |
| 14 | 2002 | 53 | |
| 15 | 2005 | 53 | |
| 16 | 2004 | 50 | |
| 17 | 2015 | 45 | |
| 18 | 2002 | 38 | |
| 19 | 2012 | 35 | |
| 20 | 2005 | 32 |
About DV Lightner
DV Lightner is a scholar working on Immunology, Insect Science, Molecular Biology, Aquatic Science and Ecology, having authored 39 papers that have together received 2.6k indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (29 papers), Aquaculture disease management and microbiota (17 papers), Insect symbiosis and bacterial influences (11 papers), Aquaculture Nutrition and Growth (7 papers), Parasite Biology and Host Interactions (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Mosquito-borne diseases and control (3 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Endocrinology (598 citations), Immunology (2.2k citations), Aquatic Science (696 citations), Insect Science (501 citations) and Ecology (360 citations). DV Lightner has collaborated with scholars based in United States, Thailand and France. Frequent co-authors include KFJ Tang, CR Pantoja, RM Redman, Liem Tran, K. Fitzsimmons, L. Nunan, David H. Lewis, J‐R Bonami, LM Nunan and J Mari. Their work appears in journals such as Diseases of Aquatic Organisms and PubMed.
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.