Daniel J. Tobiansky

30 total papers · 559 total citations
21 papers, 382 citations indexed

About

Daniel J. Tobiansky is a scholar working on Behavioral Neuroscience, Social Psychology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Daniel J. Tobiansky has authored 21 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Behavioral Neuroscience, 8 papers in Social Psychology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Daniel J. Tobiansky's work include Stress Responses and Cortisol (9 papers), Hypothalamic control of reproductive hormones (8 papers) and Neuroendocrine regulation and behavior (7 papers). Daniel J. Tobiansky is often cited by papers focused on Stress Responses and Cortisol (9 papers), Hypothalamic control of reproductive hormones (8 papers) and Neuroendocrine regulation and behavior (7 papers). Daniel J. Tobiansky collaborates with scholars based in United States, Canada and Germany. Daniel J. Tobiansky's co-authors include Kiran K. Soma, Juan M. Dominguez, Stan Floresco, Kathryn G. Wallin-Miller, Ruth I. Wood, Matthew J. Fuxjager, Chunqi Ma, Peter G. Roma, Kevin D. Lominac and Cecilia Jalabert and has published in prestigious journals such as Endocrinology, Neuroscience & Biobehavioral Reviews and Neuropsychopharmacology.

In The Last Decade

Daniel J. Tobiansky

20 papers receiving 381 citations

Author Peers

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

Author						Papers	Cites
Daniel J. Tobiansky	154	118	103	95	78	21	382
Ralph G. Noble	172 1.1×	93 0.8×	66 0.6×	127 1.3×	144 1.8×	21	386
Jeffrey A. Witcher	123 0.8×	61 0.5×	88 0.9×	109 1.1×	53 0.7×	10	406
Christine C. Vito	108 0.7×	109 0.9×	96 0.9×	120 1.3×	47 0.6×	10	393
Carmen Pérez-Laso	174 1.1×	135 1.1×	45 0.4×	69 0.7×	82 1.1×	20	372
Dennis P. Gilman	134 0.9×	102 0.9×	71 0.7×	175 1.8×	47 0.6×	13	356
Valerie L. Hedges	118 0.8×	85 0.7×	49 0.5×	66 0.7×	122 1.6×	11	371
Mitzi G. Leedy	128 0.8×	48 0.4×	45 0.4×	106 1.1×	86 1.1×	16	349
Myriam Raquel Laconi	106 0.7×	142 1.2×	83 0.8×	86 0.9×	65 0.8×	21	436
M. Nishizuka	200 1.3×	151 1.3×	39 0.4×	152 1.6×	92 1.2×	12	389
Jennifer Lymer	162 1.1×	164 1.4×	125 1.2×	56 0.6×	68 0.9×	14	433

Countries citing papers authored by Daniel J. Tobiansky

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Tobiansky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Tobiansky

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Tobiansky. A scholar is included among the top collaborators of Daniel J. Tobiansky 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 Daniel J. Tobiansky. Daniel J. Tobiansky 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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