David H. Collins

1.2k total citations
9 papers, 422 citations indexed

About

David H. Collins is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Insect Science. According to data from OpenAlex, David H. Collins has authored 9 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Ecology, Evolution, Behavior and Systematics, 4 papers in Genetics and 4 papers in Insect Science. Recurrent topics in David H. Collins's work include Plant and animal studies (4 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Insect and Pesticide Research (3 papers). David H. Collins is often cited by papers focused on Plant and animal studies (4 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Insect and Pesticide Research (3 papers). David H. Collins collaborates with scholars based in United Kingdom, United States and Indonesia. David H. Collins's co-authors include Amanda Martindale, Firdaus Hafidz, Duncan Mascarenhas, Dyah Erti Mustikawati, Peter Sarkies, Clément Gilbert, Kaycee A. Quarles, Eric A. Miska, Prashant P. Sharma and Richard Cordaux and has published in prestigious journals such as Scientific Reports, Molecular Ecology and The Journals of Gerontology Series A.

In The Last Decade

David H. Collins

8 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David H. Collins United Kingdom	7	158	127	78	73	57	9	422
Lina Zhao China	14	218 1.4×	326 2.6×	22 0.3×	12 0.2×	76 1.3×	33	795
Erica Suchman United States	12	160 1.0×	57 0.4×	66 0.8×	197 2.7×	59 1.0×	33	442
Katherine S. Wetzel United States	13	112 0.7×	28 0.2×	81 1.0×	7 0.1×	30 0.5×	16	484
Fabrice Reigner France	13	125 0.8×	19 0.1×	36 0.5×	5 0.1×	109 1.9×	55	648
Cheryl Bailey United States	9	221 1.4×	43 0.3×	25 0.3×	88 1.2×	16 0.3×	23	630
Martin Cox United Kingdom	10	99 0.6×	10 0.1×	28 0.4×	9 0.1×	56 1.0×	16	572
Suzi B. Claflin Australia	11	27 0.2×	46 0.4×	71 0.9×	27 0.4×	12 0.2×	41	471
John Thomas United States	12	157 1.0×	52 0.4×	18 0.2×	46 0.6×	20 0.4×	31	694
Jessamina E. Blum United States	5	107 0.7×	31 0.2×	15 0.2×	302 4.1×	44 0.8×	7	479
Mika Simonen Finland	13	270 1.7×	44 0.3×	18 0.2×	12 0.2×	165 2.9×	35	750

Countries citing papers authored by David H. Collins

Since Specialization

Citations

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

Fields of papers citing papers by David H. Collins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David H. Collins

This figure shows the co-authorship network connecting the top 25 collaborators of David H. Collins. A scholar is included among the top collaborators of David H. Collins 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 David H. Collins. David H. Collins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Prince, David, et al.. (2024). Molecular Basis of Eusocial Complexity: The Case of Worker Reproductivity in Bees. Genome Biology and Evolution. 16(12).

2.

Collins, David H., et al.. (2023). Costs of reproduction are present but latent in eusocial bumblebee queens. BMC Biology. 21(1). 153–153. 8 indexed citations

3.

Collins, David H., et al.. (2023). Developmental Diet Alters the Fecundity–Longevity Relationship and Age-Related Gene Expression in Drosophila melanogaster. The Journals of Gerontology Series A. 78(12). 2240–2250. 5 indexed citations

4.

Collins, David H., Michael G. Smith, David Prince, et al.. (2020). Gene expression during larval caste determination and differentiation in intermediately eusocial bumblebees, and a comparative analysis with advanced eusocial honeybees. Molecular Ecology. 30(3). 718–735. 10 indexed citations

5.

Lewis, Samuel H., Kaycee A. Quarles, Yujing Yang, et al.. (2017). Pan-arthropod analysis reveals somatic piRNAs as an ancestral defence against transposable elements. Nature Ecology & Evolution. 2(1). 174–181. 187 indexed citations

6.

Collins, David H., Firdaus Hafidz, & Dyah Erti Mustikawati. (2017). The economic burden of tuberculosis in Indonesia. The International Journal of Tuberculosis and Lung Disease. 21(9). 1041–1048. 39 indexed citations

7.

Collins, David H., Irina Mohorianu, Matthew Beckers, et al.. (2017). MicroRNAs Associated with Caste Determination and Differentiation in a Primitively Eusocial Insect. Scientific Reports. 7(1). 45674–45674. 29 indexed citations

8.

Hof, Susan van den, et al.. (2016). The socioeconomic impact of multidrug resistant tuberculosis on patients: results from Ethiopia, Indonesia and Kazakhstan. BMC Infectious Diseases. 16(1). 470–470. 56 indexed citations

9.

Collins, David H., et al.. (2009). Journal of Sport Sciences. 88 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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