Tom Hearn

1.9k total citations
23 papers, 1.4k citations indexed

About

Tom Hearn is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Tom Hearn has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Genetics and 10 papers in Surgery. Recurrent topics in Tom Hearn's work include Genetic and Kidney Cyst Diseases (8 papers), Cholesterol and Lipid Metabolism (7 papers) and Genetic Syndromes and Imprinting (6 papers). Tom Hearn is often cited by papers focused on Genetic and Kidney Cyst Diseases (8 papers), Cholesterol and Lipid Metabolism (7 papers) and Genetic Syndromes and Imprinting (6 papers). Tom Hearn collaborates with scholars based in United Kingdom, United States and Italy. Tom Hearn's co-authors include David I. Wilson, C. Mirella Spalluto, Neil A. Hanley, Karen Piper Hanley, Glenn L. Renforth, Andrew Berry, Nane Copin, Neil Roberts, Rachel Jennings and William J. Griffiths and has published in prestigious journals such as Nature Genetics, Diabetes and Analytical Biochemistry.

In The Last Decade

Tom Hearn

22 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Tom Hearn 787 739 442 123 120 23 1.4k
Margaret A. Morris 258 0.3× 525 0.7× 263 0.6× 186 1.5× 129 1.1× 27 1.1k
Takao Nammo 516 0.7× 762 1.0× 715 1.6× 322 2.6× 68 0.6× 32 1.3k
Cécile Haumaître 489 0.6× 925 1.3× 838 1.9× 223 1.8× 82 0.7× 25 1.5k
Szabolcs Fátrai 274 0.3× 850 1.2× 647 1.5× 194 1.6× 291 2.4× 25 1.5k
Gong-Qing Shen 346 0.4× 461 0.6× 212 0.5× 142 1.2× 168 1.4× 25 1.1k
Han‐Jong Kim 270 0.3× 616 0.8× 153 0.3× 111 0.9× 59 0.5× 24 1.1k
Meritxell Rovira 368 0.5× 554 0.7× 793 1.8× 178 1.4× 232 1.9× 28 1.2k
Tomoyuki Yamasaki 116 0.1× 564 0.8× 238 0.5× 110 0.9× 54 0.5× 36 899
David R. Bachinsky 380 0.5× 1.2k 1.7× 189 0.4× 71 0.6× 149 1.2× 13 1.7k
Axelle Cadoret 165 0.2× 1.0k 1.4× 313 0.7× 165 1.3× 136 1.1× 27 1.7k

Countries citing papers authored by Tom Hearn

Since Specialization
Citations

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

Fields of papers citing papers by Tom Hearn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Hearn

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

All Works

20 of 20 papers shown
1.
Abdel‐Khalik, Jonas, Tom Hearn, Peter J. Crick, et al.. (2020). Bile acid biosynthesis in Smith-Lemli-Opitz syndrome bypassing cholesterol: Potential importance of pathway intermediates. The Journal of Steroid Biochemistry and Molecular Biology. 206. 105794–105794. 12 indexed citations
2.
Raselli, Tina, Tom Hearn, Annika Wyss, et al.. (2019). Elevated oxysterol levels in human and mouse livers reflect nonalcoholic steatohepatitis. Journal of Lipid Research. 60(7). 1270–1283. 40 indexed citations
3.
Griffiths, William J., Eylan Yutuc, Jonas Abdel‐Khalik, et al.. (2019). Metabolism of Non-Enzymatically Derived Oxysterols: Clues from sterol metabolic disorders. Free Radical Biology and Medicine. 144. 124–133. 34 indexed citations
4.
Hearn, Tom. (2018). ALMS1 and Alström syndrome: a recessive form of metabolic, neurosensory and cardiac deficits. Journal of Molecular Medicine. 97(1). 1–17. 75 indexed citations
5.
Griffiths, William J., Ian S. Gilmore, Eylan Yutuc, et al.. (2018). Identification of unusual oxysterols and bile acids with 7-oxo or 3β,5α,6β-trihydroxy functions in human plasma by charge-tagging mass spectrometry with multistage fragmentation. Journal of Lipid Research. 59(6). 1058–1070. 22 indexed citations
6.
Griffiths, William J., Tom Hearn, Peter J. Crick, et al.. (2017). Charge-tagging liquid chromatography–mass spectrometry methodology targeting oxysterol diastereoisomers. Chemistry and Physics of Lipids. 207(Pt B). 69–80. 15 indexed citations
7.
Griffiths, William J., Jonas Abdel‐Khalik, Eylan Yutuc, et al.. (2017). Cholesterolomics: An update. Analytical Biochemistry. 524. 56–67. 35 indexed citations
8.
Griffiths, William J., Jonas Abdel‐Khalik, Tom Hearn, et al.. (2016). Current trends in oxysterol research. Biochemical Society Transactions. 44(2). 652–658. 44 indexed citations
9.
Jennings, Rachel, Andrew Berry, Neil Roberts, et al.. (2013). Development of the Human Pancreas From Foregut to Endocrine Commitment. Diabetes. 62(10). 3514–3522. 212 indexed citations
10.
Spalluto, C. Mirella, David I. Wilson, & Tom Hearn. (2013). Evidence for reciliation of RPE1 cells in late G1 phase, and ciliary localisation of cyclin B1. FEBS Open Bio. 3(1). 334–340. 39 indexed citations
11.
Spalluto, C. Mirella, David I. Wilson, & Tom Hearn. (2013). Evidence for centriolar satellite localization of CDK1 and cyclin B2. Cell Cycle. 12(11). 1802–1803. 7 indexed citations
12.
Spalluto, C. Mirella, David I. Wilson, & Tom Hearn. (2012). Nek2 localises to the distal portion of the mother centriole/basal body and is required for timely cilium disassembly at the G2/M transition. European Journal of Cell Biology. 91(9). 675–686. 48 indexed citations
13.
Hanley, Karen Piper, Tom Hearn, Andrew Berry, et al.. (2010). In vitro expression of NGN3 identifies RAB3B as the predominant Ras-associated GTP-binding protein 3 family member in human islets. Journal of Endocrinology. 207(2). 151–161. 19 indexed citations
14.
Spalluto, C. Mirella, Mark D. Lessard, Gayle B. Collin, et al.. (2010). Centriolar Association of ALMS1 and Likely Centrosomal Functions of the ALMS Motif–containing Proteins C10orf90 and KIAA1731. Molecular Biology of the Cell. 21(21). 3617–3629. 83 indexed citations
15.
Hearn, Tom, C. Mirella Spalluto, Karen Piper Hanley, et al.. (2010). Transcriptional regulation of the Alström syndrome gene ALMS1 by members of the RFX family and Sp1. Gene. 460(1-2). 20–29. 26 indexed citations
16.
Marshall, Jan D., Gayle B. Collin, Sebastian Beck, et al.. (2007). Spectrum ofALMS1variants and evaluation of genotype-phenotype correlations in Alström syndrome. Human Mutation. 28(11). 1114–1123. 110 indexed citations
17.
Hearn, Tom, Moira Crosier, Jonathan M. Mudge, et al.. (2003). Genomic Sequence and Transcriptional Profile of the Boundary Between Pericentromeric Satellites and Genes on Human Chromosome Arm 10p. Genome Research. 13(2). 159–172. 45 indexed citations
18.
Phillips, Helen M., Glenn L. Renforth, C. Mirella Spalluto, et al.. (2002). Narrowing the Critical Region within 11q24–qter for Hypoplastic Left Heart and Identification of a Candidate Gene, JAM3, Expressed during Cardiogenesis. Genomics. 79(4). 475–478. 34 indexed citations
19.
Hearn, Tom, Glenn L. Renforth, C. Mirella Spalluto, et al.. (2002). Mutation of ALMS1, a large gene with a tandem repeat encoding 47 amino acids, causes Alström syndrome. Nature Genetics. 31(1). 79–83. 215 indexed citations
20.
Rees, E. Douglas, et al.. (1975). Smoking and Disease. Archives of Environmental Health An International Journal. 30(8). 402–408. 12 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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