Christopher E. Aston

11.4k citations
194 papers · 8.0k · h-index 49

Impact in

Papers in

Christopher E. Aston

192 papers receiving 7.8k citations

Peers

Christopher E. Aston
Comparison fields: 5 of 175
  • Clinical Biochemistry 549
  • Biochemistry 469
  • Biological Psychiatry 157
  • Endocrinology, Diabetes and Metabolism 953
  • Genetics 1.1k
Replace Hajime Nakamura with:
Hajime Nakamura Japan
Joachim Thiery Germany
Charles J. Lowenstein United States
Toru Kita Japan
Ken‐ichi Hirata Japan
Emilio Clementi Italy
Carl J. Hauser United States
Irshad H. Chaudry United States
Hiroshi Itoh Japan
Fabrizio Montecucco Italy
Christopher E. Aston relative to Hajime Nakamura Japan Hajime Nakamura's profile →
Citations per field
00.5×2.8×
Hajime Nakamura · 1×
Citations per year

Countries citing papers authored by Christopher E. Aston

Since Specialization
Citations

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

Fields of papers citing papers by Christopher E. Aston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Christopher E. Aston, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher E. Aston Line = papers co-authored together Christopher E. Aston links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 194 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010386
2 2004328
3 2010276
4 2010274
5 1998241
6 2004230
7 1998219
8 1992194
9 2014189
10 2007171
11 2008167
12 1997165
13 2001160
14 2010158
15 2003143
16 1999132
17 1998124
18 1996118
19 1997115
20 200196

About Christopher E. Aston

Christopher E. Aston is a scholar working on Molecular Biology, Genetics, Surgery, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 194 papers that have together received 8.0k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers), Genetic Associations and Epidemiology (14 papers), Lipoproteins and Cardiovascular Health (14 papers), Gestational Diabetes Research and Management (8 papers), Pregnancy and preeclampsia studies (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Ovarian function and disorders (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Clinical Biochemistry (549 citations), Biochemistry (469 citations), Biological Psychiatry (157 citations), Endocrinology, Diabetes and Metabolism (953 citations) and Genetics (1.1k citations). Christopher E. Aston has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Boris P. Sokolov, M. Ilyas Kamboh, Lixin Jiang, Dharambir K. Sanghera, Timothy J. Lyons, Misti J. Leyva, Arpita Basu, Nancy M. Betts, Mingyuan Wu and Nilmani Saha. Their work appears in journals such as Genetic Epidemiology, Fertility and Sterility, Atherosclerosis, Human Genetics and Journal of Pediatric Urology.

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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