Abigail Chapman

27 total papers · 532 total citations
13 papers, 330 citations indexed

About

Abigail Chapman is a scholar working on Genetics, Insect Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Abigail Chapman has authored 13 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 10 papers in Insect Science and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Abigail Chapman's work include Insect and Arachnid Ecology and Behavior (10 papers), Insect and Pesticide Research (10 papers) and Plant and animal studies (8 papers). Abigail Chapman is often cited by papers focused on Insect and Arachnid Ecology and Behavior (10 papers), Insect and Pesticide Research (10 papers) and Plant and animal studies (8 papers). Abigail Chapman collaborates with scholars based in United States, Canada and United Kingdom. Abigail Chapman's co-authors include Leonard J. Foster, Alison McAfee, David R. Tarpy, Jeffery S. Pettis, Heather Higo, Joseph Milone, Waldan K. Kwong, Soledad Romero, Robyn M. Underwood and M. Marta Guarna and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

In The Last Decade

Abigail Chapman

10 papers receiving 327 citations

Author Peers

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

Author						Papers	Cites
Abigail Chapman	258	229	213	48	16	13	330
Keisuke Shimada	112 0.4×	181 0.8×	168 0.8×	94 2.0×	33 2.1×	23	336
Denise Dolores Oliveira Moreira	266 1.0×	239 1.0×	156 0.7×	24 0.5×	44 2.8×	14	335
Xuepei Cui	274 1.1×	177 0.8×	167 0.8×	47 1.0×	33 2.1×	12	317
Gaku Arakawa	216 0.8×	203 0.9×	141 0.7×	87 1.8×	46 2.9×	9	346
Joseph Milone	250 1.0×	201 0.9×	211 1.0×	37 0.8×	16 1.0×	16	315
Martha L. Wharton	165 0.6×	201 0.9×	112 0.5×	26 0.5×	43 2.7×	16	359
Yuki Mitaka	145 0.6×	251 1.1×	213 1.0×	20 0.4×	16 1.0×	20	298
Shota Suenami	204 0.8×	185 0.8×	144 0.7×	56 1.2×	15 0.9×	11	284
Julia Ebeling	204 0.8×	128 0.6×	140 0.7×	67 1.4×	35 2.2×	14	293
Teresa Müller	247 1.0×	225 1.0×	234 1.1×	40 0.8×	16 1.0×	7	295

Countries citing papers authored by Abigail Chapman

Since Specialization

Citations

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

Fields of papers citing papers by Abigail Chapman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abigail Chapman

This figure shows the co-authorship network connecting the top 25 collaborators of Abigail Chapman. A scholar is included among the top collaborators of Abigail Chapman 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 Abigail Chapman. Abigail Chapman 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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