Thomas Hattier

4.3k total citations · 1 hit paper
7 papers, 2.6k citations indexed

About

Thomas Hattier is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Thomas Hattier has authored 7 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Thomas Hattier's work include Cancer, Hypoxia, and Metabolism (2 papers), RNA and protein synthesis mechanisms (2 papers) and RNA Research and Splicing (2 papers). Thomas Hattier is often cited by papers focused on Cancer, Hypoxia, and Metabolism (2 papers), RNA and protein synthesis mechanisms (2 papers) and RNA Research and Splicing (2 papers). Thomas Hattier collaborates with scholars based in United States, Australia and Japan. Thomas Hattier's co-authors include Azra H. Ligon, Lauren A. Langford, Rong Hu, W.K. Alfred Yung, Peter A. Steck, Cheryl A. Frye, Samar A. Jasser, Huai Lin, Thaylon Davis and Sean V. Tavtigian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Thomas Hattier

7 papers receiving 2.5k citations

Hit Papers

align trajectories

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.

Identification of a candidate tumour suppressor gene, MMAC1, at chromosome 10q23.3 that is mutated in multiple advanced cancers

1997 2.3k citations Peter A. Steck, Mark A. Pershouse et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Hattier United States	6	2.1k	488	390	359	333	7	2.6k
Shivapriya Ramaswamy United States	9	2.2k 1.0×	457 0.9×	324 0.8×	259 0.7×	206 0.6×	12	2.5k
Keith Orford United States	21	1.9k 0.9×	938 1.9×	446 1.1×	325 0.9×	148 0.4×	36	2.7k
Bruce W. Konicek United States	20	1.8k 0.8×	447 0.9×	344 0.9×	240 0.7×	178 0.5×	37	2.3k
Malte Peters United States	9	1.6k 0.7×	899 1.8×	288 0.7×	253 0.7×	213 0.6×	12	2.2k
Alice Loo United States	16	1.2k 0.6×	642 1.3×	252 0.6×	220 0.6×	241 0.7×	19	2.0k
David G. Pisano Spain	34	2.0k 0.9×	521 1.1×	718 1.8×	364 1.0×	129 0.4×	65	3.0k
Roy Katso United Kingdom	13	1.9k 0.9×	409 0.8×	206 0.5×	176 0.5×	298 0.9×	15	2.6k
Frederic Tort Spain	19	2.6k 1.2×	1.3k 2.7×	550 1.4×	461 1.3×	255 0.8×	38	3.4k
Lin Pei United States	24	1.3k 0.6×	488 1.0×	478 1.2×	128 0.4×	296 0.9×	48	2.6k
Stefanie S. Schalm United States	13	1.5k 0.7×	428 0.9×	309 0.8×	160 0.4×	157 0.5×	19	2.0k

Countries citing papers authored by Thomas Hattier

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Hattier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Hattier

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Chen, Yen‐Shan, Yanwu Yang, Balamurugan Dhayalan, et al.. (2021). Insertion of a synthetic switch into insulin provides metabolite-dependent regulation of hormone–receptor activation. Proceedings of the National Academy of Sciences. 118(30). 14 indexed citations

2.

Chen, Yen‐Shan, Yanwu Yang, Balamurugan Dhayalan, et al.. (2021). Insertion of a Synthetic Switch Into Insulin Provides Metabolite-Dependent Regulation of Hormone-Receptor Activation. Journal of the Endocrine Society. 5(Supplement_1). A440–A440. 6 indexed citations

3.

Teng, Xinchen, Wen‐Chih Cheng, Bing Qi, et al.. (2011). Gene-dependent cell death in yeast. Cell Death and Disease. 2(8). e188–e188. 38 indexed citations

4.

Hattier, Thomas, Erik D. Andrulis, & Alan M. Tartakoff. (2007). Immobility, inheritance and plasticity of shape of the yeast nucleus. BMC Cell Biology. 8(1). 47–47. 28 indexed citations

5.

Honda, Kazuhiro, Mark A. Smith, Xiongwei Zhu, et al.. (2005). Ribosomal RNA in Alzheimer Disease Is Oxidized by Bound Redox-active Iron. Journal of Biological Chemistry. 280(22). 20978–20986. 232 indexed citations

6.

Steck, Peter A., Mark A. Pershouse, Samar A. Jasser, et al.. (1997). Identification of a candidate tumour suppressor gene, MMAC1, at chromosome 10q23.3 that is mutated in multiple advanced cancers. Nature Genetics. 15(4). 356–362. 2266 indexed citations breakdown →

7.

Hattier, Thomas, Russell Bell, Daniel J. Shaffer, et al.. (1995). Monitoring the efficacy of hybrid selection during positional cloning: the search for BRCA1. Mammalian Genome. 6(12). 873–879. 3 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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