Erich G. Chapman

22 total papers · 884 total citations
12 papers, 622 citations indexed

About

Erich G. Chapman is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Erich G. Chapman has authored 12 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Infectious Diseases. Recurrent topics in Erich G. Chapman's work include RNA and protein synthesis mechanisms (4 papers), DNA and Nucleic Acid Chemistry (4 papers) and Mosquito-borne diseases and control (4 papers). Erich G. Chapman is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), DNA and Nucleic Acid Chemistry (4 papers) and Mosquito-borne diseases and control (4 papers). Erich G. Chapman collaborates with scholars based in United States and Netherlands. Erich G. Chapman's co-authors include Jeffrey S. Kieft, Jeffrey Wilusz, Stephanie L. Moon, Jennifer L. Rabe, Victoria J. DeRose, Jay C. Nix, David A. Costantino, Mark G. Sterken, Patrícia A. G. C. Silva and René C. L. Olsthoorn and has published in prestigious journals such as Science, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Erich G. Chapman

11 papers receiving 618 citations

Author Peers

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

Author						Papers	Cites
Erich G. Chapman	292	274	237	122	70	12	622
Kimberly L. W. Schultz	257 0.9×	195 0.7×	214 0.9×	65 0.5×	33 0.5×	16	579
Alex M. Ward	290 1.0×	314 1.1×	273 1.2×	91 0.7×	49 0.7×	8	640
Sirle Saul	152 0.5×	305 1.1×	306 1.3×	92 0.8×	32 0.5×	23	611
Miguel Mata	434 1.5×	208 0.8×	204 0.9×	59 0.5×	31 0.4×	8	760
Jamie R. Konwerski	146 0.5×	488 1.8×	358 1.5×	78 0.6×	34 0.5×	10	719
Michelle D. Audsley	129 0.4×	215 0.8×	278 1.2×	137 1.1×	34 0.5×	19	595
Rafik Fayzulin	189 0.6×	494 1.8×	458 1.9×	58 0.5×	48 0.7×	16	759
Kathryn Rozen-Gagnon	230 0.8×	275 1.0×	310 1.3×	83 0.7×	77 1.1×	16	660
Jennifer Lu	253 0.9×	236 0.9×	270 1.1×	139 1.1×	31 0.4×	14	793
M Rikkonen	318 1.1×	307 1.1×	298 1.3×	33 0.3×	72 1.0×	8	708

Countries citing papers authored by Erich G. Chapman

Since Specialization

Citations

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

Fields of papers citing papers by Erich G. Chapman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erich G. Chapman

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