Thomas W. Chittenden

9.9k total citations · 6 hit papers
49 papers, 7.1k citations indexed

About

Thomas W. Chittenden is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Thomas W. Chittenden has authored 49 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 16 papers in Oncology and 7 papers in Cell Biology. Recurrent topics in Thomas W. Chittenden's work include Cell death mechanisms and regulation (10 papers), Cancer-related Molecular Pathways (9 papers) and Viral-associated cancers and disorders (4 papers). Thomas W. Chittenden is often cited by papers focused on Cell death mechanisms and regulation (10 papers), Cancer-related Molecular Pathways (9 papers) and Viral-associated cancers and disorders (4 papers). Thomas W. Chittenden collaborates with scholars based in United States, United Kingdom and Australia. Thomas W. Chittenden's co-authors include Robert J. Lutz, William G. Kaelin, David M. Livingston, Gerard P. Zambetti, Shigeomi Shimizu, Yoshihide Tsujimoto, Toshinori Ito, Hikaru Matsuda, Masashi Narita and Braydon C. Guild and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Thomas W. Chittenden

47 papers receiving 7.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bax interacts with the permeability transition pore to induce permeability transition and cytochromecrelease in isolated mitochondria

1998 827 citations Thomas W. Chittenden, Robert J. Lutz et al. profile →
Puma is an essential mediator of p53-dependent and -independent apoptotic pathways

2003 727 citations John Jeffers, Evan Parganas et al. Cancer Cell profile →
Induction of apoptosis by the Bcl-2 homologue Bak

1995 644 citations Thomas W. Chittenden, Elizabeth A. Harrington et al. Nature profile →
Aging and neurodegeneration are associated with increased mutations in single human neurons

2017 389 citations Michael A. Lodato, Rachel E. Rodin et al. Science profile →
Identification of a growth suppression domain within the retinoblastoma gene product.

1992 379 citations Thomas W. Chittenden, David M. Livingston et al. profile →
The T/E1A-binding domain of the retinoblastoma product can interact selectively with a sequence-specific DNA-binding protein

1991 364 citations Thomas W. Chittenden, William G. Kaelin et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas W. Chittenden United States	28	5.2k	2.2k	961	833	813	49	7.1k
Eugenio Santos Spain	45	5.8k 1.1×	2.2k 1.0×	1.1k 1.2×	802 1.0×	1.0k 1.3×	154	8.3k
Srikumar Chellappan United States	46	5.5k 1.0×	3.4k 1.5×	1.1k 1.1×	643 0.8×	952 1.2×	108	7.9k
Sebastian Nijman Austria	26	5.7k 1.1×	1.7k 0.8×	1.4k 1.4×	804 1.0×	710 0.9×	40	7.3k
Terry Van Dyke United States	40	4.5k 0.9×	3.0k 1.3×	1.1k 1.1×	742 0.9×	1.3k 1.6×	104	7.2k
Vincent J. Kidd United States	47	5.3k 1.0×	2.0k 0.9×	1.1k 1.2×	856 1.0×	636 0.8×	100	7.2k
Paolo Salomoni United Kingdom	45	4.8k 0.9×	1.4k 0.6×	776 0.8×	852 1.0×	527 0.6×	104	6.5k
Yvan de Launoit France	48	5.2k 1.0×	1.3k 0.6×	1.2k 1.2×	949 1.1×	1.5k 1.8×	161	8.1k
Qiang Yu Singapore	55	6.0k 1.2×	1.9k 0.8×	1.9k 1.9×	776 0.9×	552 0.7×	139	8.4k
Hans van Dam Netherlands	44	4.4k 0.8×	1.6k 0.7×	1.1k 1.2×	873 1.0×	733 0.9×	77	5.9k
Masatoshi Kitagawa Japan	46	5.9k 1.1×	2.7k 1.2×	1.8k 1.9×	514 0.6×	575 0.7×	144	7.8k

Countries citing papers authored by Thomas W. Chittenden

Since Specialization

Citations

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

Fields of papers citing papers by Thomas W. Chittenden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas W. Chittenden. 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 Thomas W. Chittenden. The network helps show where Thomas W. Chittenden may publish in the future.

Co-authorship network of co-authors of Thomas W. Chittenden

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

All Works

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20 of 20 papers shown

Demirbas, Didem, Junho Kim, Thomas W. Chittenden, et al.. (2023). ATM-deficiency-induced microglial activation promotes neurodegeneration in ataxia-telangiectasia. Cell Reports. 43(1). 113622–113622. 15 indexed citations

Gujja, Sharvari, et al.. (2021). Quantum processor-inspired machine learning in the biomedical sciences. Patterns. 2(6). 100246–100246. 21 indexed citations

Gujja, Sharvari, et al.. (2019). Unconventional machine learning of genome-wide human cancer data. arXiv (Cornell University). 3 indexed citations

Ricard, Nicolas, Rizaldy P. Scott, Carmen J. Booth, et al.. (2019). Endothelial ERK1/2 signaling maintains integrity of the quiescent endothelium. The Journal of Experimental Medicine. 216(8). 1874–1890. 48 indexed citations

Lodato, Michael A., Rachel E. Rodin, Craig L. Bohrson, et al.. (2017). Aging and neurodegeneration are associated with increased mutations in single human neurons. Science. 359(6375). 555–559. 389 indexed citations breakdown →

Abo, Ryan, Chang Liu, Zehua Chen, et al.. (2017). Abstract 4539: Novel feature selection strategies for enhanced predictive modeling and deep learning in the biosciences. Cancer Research. 77(13_Supplement). 4539–4539. 1 indexed citations

Chittenden, Thomas W., Eleanor Howe, Aedín C. Culhane, et al.. (2008). Functional classification analysis of somatically mutated genes in human breast and colorectal cancers. Genomics. 91(6). 508–511. 46 indexed citations

Chittenden, Thomas W., Filip Claes, Anthony A. Lanahan, et al.. (2006). Selective Regulation of Arterial Branching Morphogenesis by Synectin. Developmental Cell. 10(6). 783–795. 112 indexed citations

Chittenden, Thomas W., et al.. (2005). Automated migration analysis based on cell texture: method & reliability.. BMC Cell Biology. 6(1). 9–9. 5 indexed citations

10.

Hargens, Trent A., et al.. (2004). Do Measures From Exercise Tests Aid in Identifying OSA?. Medicine & Science in Sports & Exercise. 36(Supplement). S210–S210.

11.

Zhang, Yufeng, Thomas W. Chittenden, & Michael Simons. (2004). Characterization of synectin expression and promoter activity. Gene. 342(1). 29–34. 6 indexed citations

12.

Jeffers, John, Evan Parganas, Youngsoo Lee, et al.. (2003). Puma is an essential mediator of p53-dependent and -independent apoptotic pathways. Cancer Cell. 4(4). 321–328. 727 indexed citations breakdown →

13.

Tong, Yiai, Quan Yang, Carol A. Vater, et al.. (2001). The pro-apoptotic protein, Bik, exhibits potent antitumor activity that is dependent on its BH3 domain.. PubMed. 1(2). 95–102. 34 indexed citations

14.

Zhou, Xiaomai, Yimao Liu, Gillian Payne, Robert J. Lutz, & Thomas W. Chittenden. (2000). Growth Factors Inactivate the Cell Death Promoter BAD by Phosphorylation of Its BH3 Domain on Ser155. Journal of Biological Chemistry. 275(32). 25046–25051. 194 indexed citations

15.

Holinger, Eric P., Thomas W. Chittenden, & Robert J. Lutz. (1999). Bak BH3 Peptides Antagonize Bcl-xL Function and Induce Apoptosis through Cytochrome c-independent Activation of Caspases. Journal of Biological Chemistry. 274(19). 13298–13304. 212 indexed citations

16.

Chittenden, Thomas W., Elizabeth A. Harrington, Rosemary O’Connor, et al.. (1995). Induction of apoptosis by the Bcl-2 homologue Bak. Nature. 374(6524). 733–736. 644 indexed citations breakdown →

17.

Chittenden, Thomas W., David M. Livingston, & James A. DeCaprio. (1993). Cell Cycle Analysis of E2F in Primary Human T Cells Reveals Novel E2F Complexes and Biochemically Distinct Forms of Free E2F. Molecular and Cellular Biology. 13(7). 3975–3983. 88 indexed citations

18.

Kaelin, William G., et al.. (1993). Structural and functional contributions to the G1 blocking action of the retinoblastoma protein. (the 1992 Gordon Hamilton Fairley Memorial Lecture). British Journal of Cancer. 68(2). 264–268. 14 indexed citations

19.

Chittenden, Thomas W., Dennis Livingston, & William G. Kaelin. (1991). RB Associates with an E2F-like, Sequence-specific DNA-binding Protein. Cold Spring Harbor Symposia on Quantitative Biology. 56(0). 187–195. 19 indexed citations

20.

Frey, Alan B., Thomas W. Chittenden, & Arnold J. Levine. (1989). Epstein-Barr Virus DNA Replication. Current topics in microbiology and immunology. 144. 227–232.

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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