J. G. Rempel

51 total papers · 984 total citations
38 papers, 647 citations indexed

About

J. G. Rempel is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Cancer Research. According to data from OpenAlex, J. G. Rempel has authored 38 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Insect Science, 13 papers in Ecology, Evolution, Behavior and Systematics and 12 papers in Cancer Research. Recurrent topics in J. G. Rempel's work include Beetle Biology and Toxicology Studies (12 papers), Insect Utilization and Effects (8 papers) and Mosquito-borne diseases and control (8 papers). J. G. Rempel is often cited by papers focused on Beetle Biology and Toxicology Studies (12 papers), Insect Utilization and Effects (8 papers) and Mosquito-borne diseases and control (8 papers). J. G. Rempel collaborates with scholars based in Canada. J. G. Rempel's co-authors include N. S. Church, J. McLintock, G. H. Gerber, Rita J. Wensler, P. R. Sweeny, F. J. H. Fredeen, Ross G. Gerrity, Klaus Rothfels, J. M. Naylor and J. Spalatin and has published in prestigious journals such as Science, Canadian Journal of Zoology and Frontiers in Cellular and Infection Microbiology.

In The Last Decade

J. G. Rempel

36 papers receiving 493 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
J. G. Rempel	260	250	133	131	123	38	647
Monica F. Poelchau	186 0.7×	212 0.8×	180 1.4×	226 1.7×	163 1.3×	21	744
Henrike Schmidtberg	136 0.5×	126 0.5×	182 1.4×	441 3.4×	77 0.6×	24	746
Tiina S. Salminen	155 0.6×	135 0.5×	135 1.0×	184 1.4×	210 1.7×	24	587
Paul E. Marek	222 0.9×	323 1.3×	134 1.0×	101 0.8×	35 0.3×	55	702
Daniel J. White	85 0.3×	195 0.8×	199 1.5×	53 0.4×	68 0.6×	30	607
Jenni M. Prokkola	242 0.9×	263 1.1×	94 0.7×	58 0.4×	26 0.2×	29	751
Guiquan Zhang	149 0.6×	176 0.7×	245 1.8×	46 0.4×	55 0.4×	44	654
Richard Glatz	143 0.6×	99 0.4×	187 1.4×	293 2.2×	96 0.8×	42	629
Kok‐Boon Neoh	332 1.3×	355 1.4×	43 0.3×	351 2.7×	28 0.2×	60	702
Ramiro Morales‐Hojas	139 0.5×	144 0.6×	160 1.2×	246 1.9×	47 0.4×	34	703

Countries citing papers authored by J. G. Rempel

Since Specialization

Citations

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

Fields of papers citing papers by J. G. Rempel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. G. Rempel. 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 J. G. Rempel. The network helps show where J. G. Rempel may publish in the future.

Co-authorship network of co-authors of J. G. Rempel

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

All Works

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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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