Fred C. Baker

33 total papers · 1.1k total citations
25 papers, 898 citations indexed

About

Fred C. Baker is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Fred C. Baker has authored 25 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Fred C. Baker's work include Neurobiology and Insect Physiology Research (9 papers), Insect and Arachnid Ecology and Behavior (6 papers) and Insect and Pesticide Research (5 papers). Fred C. Baker is often cited by papers focused on Neurobiology and Insect Physiology Research (9 papers), Insect and Arachnid Ecology and Behavior (6 papers) and Insect and Pesticide Research (5 papers). Fred C. Baker collaborates with scholars based in United States, United Kingdom and Japan. Fred C. Baker's co-authors include David A. Schooley, Leslie W. Tsai, Carol C. Reuter, Gene C. Jamieson, Hans Laufer, C. J. W. Brooks, David W. Borst, Ernest S. Chang, Matthew Landau and Christine Miller and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Fred C. Baker

25 papers receiving 847 citations

Author Peers

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

Author						Papers	Cites
Fred C. Baker	426	300	285	271	227	25	898
James Y. Bradfield	370 0.9×	293 1.0×	267 0.9×	331 1.2×	115 0.5×	26	855
Victor J. Brookes	324 0.8×	291 1.0×	242 0.8×	294 1.1×	117 0.5×	28	764
Carol C. Reuter	333 0.8×	174 0.6×	180 0.6×	177 0.7×	105 0.5×	11	721
Billy W. Geer	362 0.8×	274 0.9×	110 0.4×	221 0.8×	67 0.3×	32	735
Leslie W. Tsai	536 1.3×	337 1.1×	284 1.0×	200 0.7×	164 0.7×	18	886
Arthur M. Jungreis	369 0.9×	276 0.9×	99 0.3×	187 0.7×	117 0.5×	39	709
Mallikarjun Shakarad	125 0.3×	216 0.7×	232 0.8×	194 0.7×	263 1.2×	40	801
Anja Cerstiaens	524 1.2×	320 1.1×	255 0.9×	399 1.5×	80 0.4×	18	936
E. J. Middleton	265 0.6×	202 0.7×	117 0.4×	184 0.7×	50 0.2×	47	732
R.W. Newburgh	229 0.5×	222 0.7×	88 0.3×	535 2.0×	41 0.2×	63	994

Countries citing papers authored by Fred C. Baker

Since Specialization

Citations

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

Fields of papers citing papers by Fred C. Baker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred C. Baker. 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 Fred C. Baker. The network helps show where Fred C. Baker may publish in the future.

Co-authorship network of co-authors of Fred C. Baker

This figure shows the co-authorship network connecting the top 25 collaborators of Fred C. Baker. A scholar is included among the top collaborators of Fred C. Baker 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 Fred C. Baker. Fred C. Baker 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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