Daniel E. Kolker

618 total citations
8 papers, 491 citations indexed

About

Daniel E. Kolker is a scholar working on Endocrine and Autonomic Systems, Physiology and Plant Science. According to data from OpenAlex, Daniel E. Kolker has authored 8 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrine and Autonomic Systems, 6 papers in Physiology and 3 papers in Plant Science. Recurrent topics in Daniel E. Kolker's work include Circadian rhythm and melatonin (7 papers), Dietary Effects on Health (3 papers) and Spaceflight effects on biology (3 papers). Daniel E. Kolker is often cited by papers focused on Circadian rhythm and melatonin (7 papers), Dietary Effects on Health (3 papers) and Spaceflight effects on biology (3 papers). Daniel E. Kolker collaborates with scholars based in United States and Brazil. Daniel E. Kolker's co-authors include Fred W. Turek, Joseph S. Takahashi, Plamen D. Penev, Phyllis C. Zee, Martha Hotz Vitaterna, Teresa H. Horton, Verónica S. Valentinuzzi, Richard Paylor, Andrew R. Whiteley and Kazuhiro Shimomura and has published in prestigious journals such as American Journal of Physiology-Heart and Circulatory Physiology, Neurobiology of Aging and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

In The Last Decade

Daniel E. Kolker

8 papers receiving 479 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel E. Kolker United States 7 360 182 158 115 72 8 491
Pınar Pezük United States 9 360 1.0× 181 1.0× 81 0.5× 102 0.9× 40 0.6× 9 453
Tomoko Ueyama Japan 5 420 1.2× 202 1.1× 71 0.4× 114 1.0× 29 0.4× 7 540
Penny C. Molyneux United States 11 463 1.3× 242 1.3× 109 0.7× 153 1.3× 53 0.7× 15 529
Ian D. Blum Canada 14 596 1.7× 291 1.6× 186 1.2× 177 1.5× 65 0.9× 19 821
Danny Truong United States 10 371 1.0× 174 1.0× 166 1.1× 180 1.6× 41 0.6× 11 619
Andrew M. Vosko United States 7 348 1.0× 112 0.6× 101 0.6× 204 1.8× 39 0.5× 10 478
Vladimira Jakubcakova Germany 9 459 1.3× 217 1.2× 111 0.7× 116 1.0× 41 0.6× 10 696
Sato Honma Japan 9 393 1.1× 117 0.6× 190 1.2× 193 1.7× 26 0.4× 10 420
I.F. Palm Netherlands 8 644 1.8× 244 1.3× 228 1.4× 182 1.6× 35 0.5× 10 823
Rianne van der Spek Netherlands 8 411 1.1× 255 1.4× 67 0.4× 55 0.5× 32 0.4× 10 573

Countries citing papers authored by Daniel E. Kolker

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Kolker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel E. Kolker

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. Kolker. A scholar is included among the top collaborators of Daniel E. Kolker 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 E. Kolker. Daniel E. Kolker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Kolker, Daniel E., et al.. (2003). Aging Alters Circadian and Light-Induced Expression of Clock Genes in Golden Hamsters. Journal of Biological Rhythms. 18(2). 159–169. 129 indexed citations
2.
Kolker, Daniel E., et al.. (2003). Effects of age on circadian rhythms are similar in wild-type and heterozygous Clock mutant mice. Neurobiology of Aging. 25(4). 517–523. 35 indexed citations
3.
Kolker, Daniel E., et al.. (2002). Feeding melatonin enhances the phase shifting response to triazolam in both young and old golden hamsters. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 282(5). R1382–R1388. 12 indexed citations
4.
Turek, Fred W. & Daniel E. Kolker. (2001). The discovery of circadian clock genes and the use of similar strategies to discover unknown genes underlying complex behaviors and brain disorders. European Neuropsychopharmacology. 11(6). 475–482. 6 indexed citations
5.
Valentinuzzi, Verónica S., et al.. (2001). Effect of circadian phase on context and cued fear conditioning in C57BL/6J mice. Animal Learning & Behavior. 29(2). 133–142. 53 indexed citations
6.
Kolker, Daniel E. & Fred W. Turek. (1999). The Search for Circadian Clock and Sleep Genes. Journal of Psychopharmacology. 13(4_Suppl). 5S–9S. 12 indexed citations
7.
Valentinuzzi, Verónica S., Daniel E. Kolker, Martha Hotz Vitaterna, et al.. (1998). Automated Measurement of Mouse Freezing Behavior and its Use for Quantitative Trait Locus Analysis of Contextual Fear Conditioning in (BALB/cJ × C57BL/6J)F2Mice. Learning & Memory. 5(4). 391–403. 80 indexed citations
8.
Penev, Plamen D., Daniel E. Kolker, Phyllis C. Zee, & Fred W. Turek. (1998). Chronic circadian desynchronization decreases the survival of animals with cardiomyopathic heart disease. American Journal of Physiology-Heart and Circulatory Physiology. 275(6). H2334–H2337. 164 indexed citations

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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