Dhruba Naug

2.3k total citations
41 papers, 1.8k citations indexed

About

Dhruba Naug is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Insect Science. According to data from OpenAlex, Dhruba Naug has authored 41 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Genetics, 38 papers in Ecology, Evolution, Behavior and Systematics and 27 papers in Insect Science. Recurrent topics in Dhruba Naug's work include Insect and Arachnid Ecology and Behavior (39 papers), Plant and animal studies (37 papers) and Insect and Pesticide Research (27 papers). Dhruba Naug is often cited by papers focused on Insect and Arachnid Ecology and Behavior (39 papers), Plant and animal studies (37 papers) and Insect and Pesticide Research (27 papers). Dhruba Naug collaborates with scholars based in United States, India and Switzerland. Dhruba Naug's co-authors include Christopher Mayack, Ann E. Gibbs, Scott Camazine, Raghavendra Gadagkar, Brian H. Smith, H. S. Arathi, C. Drew Tait, J. Campbell, John W. Wenzel and Adam J. Chicco and has published in prestigious journals such as The American Naturalist, Philosophical Transactions of the Royal Society B Biological Sciences and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Dhruba Naug

41 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dhruba Naug United States 20 1.5k 1.4k 1.3k 101 91 41 1.8k
Philip T. Starks United States 28 1.8k 1.2× 1.8k 1.3× 1.3k 1.0× 135 1.3× 187 2.1× 77 2.4k
Heikki Helanterä Finland 28 1.8k 1.2× 2.0k 1.4× 1.1k 0.8× 113 1.1× 96 1.1× 103 2.3k
Timothy A. Linksvayer United States 27 1.7k 1.1× 1.9k 1.4× 1.0k 0.8× 80 0.8× 89 1.0× 65 2.2k
Deborah R. Smith United States 29 2.3k 1.5× 2.3k 1.6× 1.7k 1.3× 112 1.1× 96 1.1× 77 2.7k
Rebeca B. Rosengaus United States 27 1.4k 0.9× 1.9k 1.3× 1.8k 1.3× 158 1.6× 70 0.8× 52 2.4k
James H. Hunt United States 24 1.5k 1.0× 1.6k 1.1× 854 0.6× 94 0.9× 94 1.0× 41 1.8k
Pierre Jaisson France 24 1.4k 0.9× 1.4k 1.0× 718 0.5× 65 0.6× 57 0.6× 56 1.6k
Sara Helms Cahan United States 24 1.1k 0.7× 1.2k 0.9× 489 0.4× 56 0.6× 165 1.8× 55 1.5k
Thomas Chouvenc United States 24 1.3k 0.9× 1.6k 1.2× 1.2k 0.9× 250 2.5× 76 0.8× 100 1.8k
Eisuke Hasegawa Japan 21 876 0.6× 887 0.6× 549 0.4× 97 1.0× 90 1.0× 83 1.1k

Countries citing papers authored by Dhruba Naug

Since Specialization
Citations

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

Fields of papers citing papers by Dhruba Naug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dhruba Naug

This figure shows the co-authorship network connecting the top 25 collaborators of Dhruba Naug. A scholar is included among the top collaborators of Dhruba Naug based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dhruba Naug. Dhruba Naug is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tait, C. Drew & Dhruba Naug. (2022). Interindividual variation in the use of social information during learning in honeybees. Proceedings of the Royal Society B Biological Sciences. 289(1967). 20212501–20212501. 5 indexed citations
2.
Naug, Dhruba, et al.. (2022). Metabolic Rate Diversity Shapes Group Performance in Honeybees. The American Naturalist. 199(5). E156–E169. 4 indexed citations
3.
Tait, C. Drew, Axel Brockmann, & Dhruba Naug. (2021). Nesting ecology does not explain slow–fast cognitive differences among honeybee species. Animal Cognition. 24(6). 1227–1235. 2 indexed citations
4.
Naug, Dhruba & C. Drew Tait. (2021). Slow-Fast Cognitive Phenotypes and Their Significance for Social Behavior: What Can We Learn From Honeybees?. Frontiers in Ecology and Evolution. 9. 5 indexed citations
5.
Tait, C. Drew & Dhruba Naug. (2020). Cognitive phenotypes and their functional differences in the honey bee, Apis mellifera. Animal Behaviour. 165. 117–122. 10 indexed citations
6.
Tait, C. Drew, et al.. (2019). Interindividual variation in learning ability in honeybees. Behavioural Processes. 167. 103918–103918. 16 indexed citations
7.
Dillon, Michael E., et al.. (2018). Spare to share? How does interindividual variation in metabolic rate influence food sharing in the honeybee?. Journal of Insect Physiology. 112. 35–38. 2 indexed citations
8.
Naug, Dhruba, et al.. (2016). Inter-individual variation in nutrient balancing in the honeybee (Apis mellifera). Journal of Insect Physiology. 95. 17–22. 7 indexed citations
9.
Naug, Dhruba, et al.. (2016). Dancers and followers in a honeybee colony differently prioritize individual and colony nutritional needs. Animal Behaviour. 119. 69–74. 12 indexed citations
10.
Naug, Dhruba, et al.. (2016). A capillary feeder (CAFE) assay to measure food consumption and diet choice of individual honey bees. Journal of Apicultural Research. 55(4). 353–355. 5 indexed citations
11.
Mayack, Christopher & Dhruba Naug. (2015). Starving honeybees lose self-control. Biology Letters. 11(1). 20140820–20140820. 33 indexed citations
12.
Naug, Dhruba, et al.. (2015). Energetic state regulates the exploration–exploitation trade-off in honeybees. Behavioral Ecology. 26(4). 1045–1050. 43 indexed citations
13.
Campbell, J., et al.. (2010). Behavioural fever in infected honeybees: parasitic manipulation or coincidental benefit?. Parasitology. 137(10). 1487–1491. 55 indexed citations
14.
Mayack, Christopher & Dhruba Naug. (2010). Parasitic infection leads to decline in hemolymph sugar levels in honeybee foragers. Journal of Insect Physiology. 56(11). 1572–1575. 110 indexed citations
15.
Naug, Dhruba & Ann E. Gibbs. (2009). Behavioral changes mediated by hunger in honeybees infected withNosema ceranae. Apidologie. 40(6). 595–599. 122 indexed citations
16.
Naug, Dhruba. (2009). Nutritional stress due to habitat loss may explain recent honeybee colony collapses. Biological Conservation. 142(10). 2369–2372. 337 indexed citations
17.
Naug, Dhruba. (2009). Structure and resilience of the social network in an insect colony as a function of colony size. Behavioral Ecology and Sociobiology. 63(7). 1023–1028. 77 indexed citations
18.
Mayack, Christopher & Dhruba Naug. (2008). Energetic stress in the honeybee Apis mellifera from Nosema ceranae infection. Journal of Invertebrate Pathology. 100(3). 185–188. 322 indexed citations
19.
Naug, Dhruba & H. S. Arathi. (2006). Sampling and decision rules used by honey bees in a foraging arena. Animal Cognition. 10(2). 117–124. 15 indexed citations
20.
Naug, Dhruba & Scott Camazine. (2002). The Role of Colony Organization on Pathogen Transmission in Social Insects. Journal of Theoretical Biology. 215(4). 427–439. 110 indexed citations

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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