Benjamin R. Kallman

8 total papers · 670 total citations
5 papers, 432 citations indexed

About

Benjamin R. Kallman is a scholar working on Cellular and Molecular Neuroscience, Nutrition and Dietetics and Genetics. According to data from OpenAlex, Benjamin R. Kallman has authored 5 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 2 papers in Nutrition and Dietetics and 2 papers in Genetics. Recurrent topics in Benjamin R. Kallman's work include Neurobiology and Insect Physiology Research (5 papers), Insect and Arachnid Ecology and Behavior (2 papers) and Biochemical Analysis and Sensing Techniques (2 papers). Benjamin R. Kallman is often cited by papers focused on Neurobiology and Insect Physiology Research (5 papers), Insect and Arachnid Ecology and Behavior (2 papers) and Biochemical Analysis and Sensing Techniques (2 papers). Benjamin R. Kallman collaborates with scholars based in United States, India and Switzerland. Benjamin R. Kallman's co-authors include Kristin Scott, Hee‐Soo Kim, Alexander Fleischmann, Shakthi Bhaskar, Gloria B. Choi, Richard Axel, Brendan Mullaney, David T. Harris, Zachary L. Newman and Shai Berlin and has published in prestigious journals such as Cell, Neuron and Nature Methods.

In The Last Decade

Benjamin R. Kallman

5 papers receiving 427 citations

Author Peers

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

Author						Papers	Cites
Benjamin R. Kallman	353	122	99	92	81	5	432
Lena van Giesen	253 0.7×	44 0.4×	93 0.9×	96 1.0×	33 0.4×	11	385
Alice S. French	272 0.8×	31 0.3×	135 1.4×	102 1.1×	52 0.6×	11	414
Brendan P. Lehnert	185 0.5×	65 0.5×	51 0.5×	47 0.5×	16 0.2×	9	412
Niccolò Bonacchi	211 0.6×	71 0.6×	19 0.2×	34 0.4×	21 0.3×	3	397
Irène Chambille	274 0.8×	52 0.4×	80 0.8×	67 0.7×	18 0.2×	13	379
Christine A. Byrd	262 0.7×	270 2.2×	41 0.4×	40 0.4×	115 1.4×	16	449
Rosa Mastrogiacomo	231 0.7×	134 1.1×	94 0.9×	23 0.3×	54 0.7×	14	486
Rebecca Jordan	195 0.6×	158 1.3×	28 0.3×	34 0.4×	58 0.7×	17	444
Yishan Sun	243 0.7×	42 0.3×	148 1.5×	84 0.9×	19 0.2×	16	415
Mark N. Rand	295 0.8×	113 0.9×	22 0.2×	25 0.3×	70 0.9×	11	449

Countries citing papers authored by Benjamin R. Kallman

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin R. Kallman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin R. Kallman. 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 Benjamin R. Kallman. The network helps show where Benjamin R. Kallman may publish in the future.

Co-authorship network of co-authors of Benjamin R. Kallman

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin R. Kallman. A scholar is included among the top collaborators of Benjamin R. Kallman 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 Benjamin R. Kallman. Benjamin R. Kallman 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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