Tracy O’Connor

5k citations
27 papers · 4.1k · 3 hit papers · h-index 19

Impact in

  • Hepatology top 1%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver physiology and pathology
  • Physiology top 1%
    • Alzheimer's disease research and treatments

Papers in

Tracy O’Connor

26 papers receiving 4.1k citations

Tracy O’Connor's Hit Papers

Platelet GPIbα is a mediator and potential interventional target for NASH and subsequent liver cancer 2019 · 343 citations
3430+5+10Years since publication250500750

Peers

Tracy O’Connor
Comparison fields: 5 of 101
  • Hepatology 679
  • Physiology 1.3k
  • Neurology 184
  • Oncology 391
  • Cancer Research 205
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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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The immunology of hepatocellular carcinoma
Hit paper breakdown →
2018848
2
Protein aggregation diseases: pathogenicity and therapeutic perspectives
Hit paper breakdown →
2010645
3 2008372
4
Platelet GPIbα is a mediator and potential interventional target for NASH and subsequent liver cancer
Hit paper breakdown →
2019343
5 2007333
6 2011324
7 2005224
8 2013178
9 2015141
10 2020141
11 2014113
12 202383
13 201577
14 201068
15 201853
16 201652
17 202142
18 201932
19 202022
20 201517

About Tracy O’Connor

Tracy O’Connor is a scholar working on Oncology, Hepatology, Physiology, Cancer Research and Cell Biology, having authored 27 papers that have together received 4.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Prion Diseases and Protein Misfolding (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Hepatitis B Virus Studies (2 papers), Cellular Mechanics and Interactions (2 papers), NF-κB Signaling Pathways (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and CNS Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (679 citations), Physiology (1.3k citations), Neurology (184 citations), Oncology (391 citations) and Cancer Research (205 citations). Tracy O’Connor has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Adriano Aguzzi, Mathias F Heikenwälder, Robert J. Vassar, Marc Ringelhan, Dominik Reinhard Pfister, Eli Pikarsky, Jie Janet Zhao, Rodney A. Velliquette, Brian D. Hitt and Erika Maus. Their work appears in journals such as PLoS ONE, Journal of Hepatology, Nature, PLoS Pathogens and Journal of Neuroscience.

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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