Tracy O’Connor

5.0k citations
24 papers · 3.3k · 2 hit papers · h-index 15

Impact in

  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological diseases and metabolism
  • Physiology top 1%
    • Alzheimer's disease research and treatments

Papers in

Tracy O’Connor

24 papers receiving 3.3k citations

Tracy O’Connor's Hit Papers

The immunology of hepatocellular carcinoma 2018 · 783 citations
7830+5+10Years since publication250500750

Peers

Tracy O’Connor
Comparison fields: 5 of 106
  • Neurology 475
  • Physiology 1.2k
  • Biological Psychiatry 115
  • Hepatology 250
  • Cell Biology 331
Replace William P. Esler with:
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Tracy O’Connor relative to William P. Esler United States William P. Esler's profile →
Citations per field
00.5×4.7×
William P. Esler · 1×
Citations per year

Countries citing papers authored by Tracy O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Tracy O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tracy O’Connor. 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 Tracy O’Connor. The network helps show where Tracy O’Connor may publish in the future.

Co-authors

The 25 scholars most cited alongside Tracy O’Connor, 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 Tracy O’Connor Line = papers co-authored together Tracy O’Connor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The immunology of hepatocellular carcinoma
Hit paper breakdown →
2018783
2
Protein aggregation diseases: pathogenicity and therapeutic perspectives
Hit paper breakdown →
2010630
3 2008363
4 2007329
5 2011315
6 2005225
7 2013166
8 2015132
9 2014108
10 201576
11 201069
12 202141
13 202028
14 201822
15 201518
16 201210
17 201410
18 20137
19 20125
20 20133

About Tracy O’Connor

Tracy O’Connor is a scholar working on Molecular Biology, Oncology, Physiology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 3.3k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (7 papers), Alzheimer's disease research and treatments (5 papers), Advanced Breast Cancer Therapies (4 papers), Cancer Treatment and Pharmacology (3 papers), Neurological diseases and metabolism (3 papers), Trace Elements in Health (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Neurology (475 citations), Physiology (1.2k citations), Biological Psychiatry (115 citations), Hepatology (250 citations) and Cell Biology (331 citations). Tracy O’Connor has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Adriano Aguzzi, Mathias Heikenwälder, Robert Vassar, Marc Ringelhan, Dominik Pfister, Eli Pikarsky, Jie Zhao, Rodney A. Velliquette, Erika Maus and Brian D. Hitt. Their work appears in journals such as PLoS ONE, Journal of Clinical Oncology, Journal of Neuroscience, PLoS Pathogens and Advances in experimental medicine and biology.

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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