Nathan Medd

2.5k total citations · 1 hit paper
6 papers, 699 citations indexed

About

Nathan Medd is a scholar working on Insect Science, Plant Science and Molecular Biology. According to data from OpenAlex, Nathan Medd has authored 6 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Insect Science, 3 papers in Plant Science and 2 papers in Molecular Biology. Recurrent topics in Nathan Medd's work include Insect-Plant Interactions and Control (3 papers), Insect symbiosis and bacterial influences (2 papers) and Genomics and Phylogenetic Studies (2 papers). Nathan Medd is often cited by papers focused on Insect-Plant Interactions and Control (3 papers), Insect symbiosis and bacterial influences (2 papers) and Genomics and Phylogenetic Studies (2 papers). Nathan Medd collaborates with scholars based in United Kingdom, Australia and Switzerland. Nathan Medd's co-authors include Ben Jackson, John T. McCrone, Stephen W. Attwood, Andrew Rambaut, Verity Hill, Khalil Abudahab, Daniel Maloney, David M. Aanensen, Rachel Colquhoun and Louis du Plessis and has published in prestigious journals such as PLoS Pathogens, Pest Management Science and Virus Evolution.

In The Last Decade

Nathan Medd

6 papers receiving 687 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool

2021 551 citations Áine O’Toole, Emily Scher et al. Virus Evolution profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nathan Medd United Kingdom	5	501	203	114	107	97	6	699
Kayla M. Peck United States	9	436 0.9×	153 0.8×	39 0.3×	135 1.3×	50 0.5×	13	636
Artem Baidaliuk France	7	232 0.5×	92 0.5×	136 1.2×	58 0.5×	77 0.8×	9	430
Sergio M. Villordo Argentina	12	571 1.1×	180 0.9×	302 2.6×	30 0.3×	101 1.0×	14	946
Charles B. Stauft United States	14	299 0.6×	156 0.8×	27 0.2×	63 0.6×	34 0.4×	28	516
Yiyang Zhou United States	9	158 0.3×	111 0.5×	75 0.7×	34 0.3×	60 0.6×	23	369
Ming Te Yeh United States	9	298 0.6×	146 0.7×	17 0.1×	43 0.4×	30 0.3×	15	539
José A. Usme-Ciro Colombia	13	247 0.5×	77 0.4×	82 0.7×	20 0.2×	20 0.2×	36	437
Doris Heidenreich Germany	4	143 0.3×	137 0.7×	21 0.2×	34 0.3×	40 0.4×	5	355
Airn E. Hartwig United States	13	573 1.1×	41 0.2×	57 0.5×	295 2.8×	15 0.2×	33	709
Andrew Woodman United States	12	169 0.3×	127 0.6×	9 0.1×	69 0.6×	73 0.8×	15	401

Countries citing papers authored by Nathan Medd

Since Specialization

Citations

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

Fields of papers citing papers by Nathan Medd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Medd

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

All Works

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6 of 6 papers shown

1.

O’Toole, Áine, Emily Scher, Anthony Underwood, et al.. (2021). Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool. Virus Evolution. 7(2). veab064–veab064. 551 indexed citations breakdown →

2.

O’Toole, Áine, Emily Scher, Anthony Underwood, et al.. (2021). Assignment of Epidemiological Lineages in an Emerging Pandemic Using the Pangolin Tool. Apollo (University of Cambridge). 1 indexed citations

3.

Palmer, William, Nathan Medd, Philippa M. Beard, & Darren J. Obbard. (2018). Isolation of a natural DNA virus of Drosophila melanogaster, and characterisation of host resistance and immune responses. PLoS Pathogens. 14(6). e1007050–e1007050. 45 indexed citations

4.

Medd, Nathan, Simon Fellous, Fergal M. Waldron, et al.. (2018). The virome of Drosophila suzukii, an invasive pest of soft fruit. Virus Evolution. 4(1). vey009–vey009. 56 indexed citations

5.

Fountain, Michelle T. & Nathan Medd. (2015). Integrating pesticides and predatory mites in soft fruit crops. Phytoparasitica. 43(5). 657–667. 31 indexed citations

6.

Medd, Nathan, et al.. (2014). An evaluation of three predatory mite species for the control of greenhouse whitefly (Trialeurodes vaporariorum). Pest Management Science. 70(10). 1492–1496. 15 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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