Timothy M. Bass

2.1k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

Timothy M. Bass is a scholar working on Aging, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, Timothy M. Bass has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Aging, 4 papers in Endocrine and Autonomic Systems and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Timothy M. Bass's work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Circadian rhythm and melatonin (4 papers) and Neurobiology and Insect Physiology Research (2 papers). Timothy M. Bass is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (6 papers), Circadian rhythm and melatonin (4 papers) and Neurobiology and Insect Physiology Research (2 papers). Timothy M. Bass collaborates with scholars based in United Kingdom, Switzerland and Australia. Timothy M. Bass's co-authors include Linda Partridge, Matthew D. W. Piper, Pedro Martı́nez, Yasmine Driege, Susan Broughton, Ernst Hafen, Tomoatsu Ikeya, David Weinkove, Koen Houthoofd and David Gems and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journals of Gerontology Series A.

In The Last Decade

Timothy M. Bass

7 papers receiving 1.5k citations

Hit Papers

Longer lifespan, altered ... 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy M. Bass United Kingdom 6 860 670 384 295 292 8 1.6k
Kyung‐Jin Min South Korea 21 605 0.7× 389 0.6× 544 1.4× 343 1.2× 364 1.2× 41 1.8k
Maria E. Giannakou United Kingdom 15 885 1.0× 402 0.6× 760 2.0× 198 0.7× 397 1.4× 17 1.8k
Cathy Slack United Kingdom 16 1.1k 1.2× 524 0.8× 1.0k 2.6× 176 0.6× 451 1.5× 23 2.2k
Viveca Sapin United States 10 697 0.8× 353 0.5× 565 1.5× 132 0.4× 342 1.2× 12 1.4k
Dae‐Sung Hwangbo United States 10 675 0.8× 335 0.5× 496 1.3× 176 0.6× 295 1.0× 13 1.3k
Ryan T. Birse United States 15 304 0.4× 736 1.1× 580 1.5× 251 0.9× 210 0.7× 18 1.5k
Nazif Alic United Kingdom 27 872 1.0× 541 0.8× 1.3k 3.3× 309 1.0× 304 1.0× 51 2.4k
David J. Clancy United Kingdom 19 1.3k 1.5× 412 0.6× 765 2.0× 836 2.8× 513 1.8× 26 2.7k
Kyu‐Sun Lee South Korea 17 200 0.2× 590 0.9× 397 1.0× 225 0.8× 127 0.4× 29 1.2k
Gary N. Landis United States 17 573 0.7× 323 0.5× 790 2.1× 184 0.6× 172 0.6× 26 1.5k

Countries citing papers authored by Timothy M. Bass

Since Specialization
Citations

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

Fields of papers citing papers by Timothy M. Bass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy M. Bass. 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 Timothy M. Bass. The network helps show where Timothy M. Bass may publish in the future.

Co-authorship network of co-authors of Timothy M. Bass

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy M. Bass. A scholar is included among the top collaborators of Timothy M. Bass 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 Timothy M. Bass. Timothy M. Bass 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.
Bass, Timothy M.. (2021). Persistent Optimism: The Inherency of Security within International Space Law. UF Law Scholarship Repository (University of Florida). 31(2). 4.
2.
Bass, Timothy M., et al.. (2016). A Novel Approach for Controlled Deorbiting and Reentry of Small Spacecraft. Scholarly Commons (Embry–Riddle Aeronautical University). 2 indexed citations
3.
Broughton, Susan, Cathy Slack, Nazif Alic, et al.. (2010). DILP‐producing median neurosecretory cells in the Drosophila brain mediate the response of lifespan to nutrition. Aging Cell. 9(3). 336–346. 104 indexed citations
4.
Wong, Richard, et al.. (2008). Effect of a Standardised Dietary Restriction Protocol on Multiple Laboratory Strains of Drosophila melanogaster. PLoS ONE. 4(1). e4067–e4067. 88 indexed citations
5.
Broughton, Susan, Nazif Alic, Cathy Slack, et al.. (2008). Reduction of DILP2 in Drosophila Triages a Metabolic Phenotype from Lifespan Revealing Redundancy and Compensation among DILPs. PLoS ONE. 3(11). e3721–e3721. 158 indexed citations
6.
Bass, Timothy M., et al.. (2007). Optimization of Dietary Restriction Protocols in Drosophila. The Journals of Gerontology Series A. 62(10). 1071–1081. 235 indexed citations
7.
Bass, Timothy M., David Weinkove, Koen Houthoofd, David Gems, & Linda Partridge. (2007). Effects of resveratrol on lifespan in Drosophila melanogaster and Caenorhabditis elegans. Mechanisms of Ageing and Development. 128(10). 546–552. 344 indexed citations
8.
Broughton, Susan, Matthew D. W. Piper, Tomoatsu Ikeya, et al.. (2005). Longer lifespan, altered metabolism, and stress resistance in Drosophila from ablation of cells making insulin-like ligands. Proceedings of the National Academy of Sciences. 102(8). 3105–3110. 637 indexed citations breakdown →

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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