Christopher L. O’Connor

1.2k citations
20 papers · 748 · h-index 9

Impact in

  • Nephrology top 2%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Renal and related cancers 5
    • Glycosylation and Glycoproteins Research 1
    • Renal Diseases and Glomerulopathies 8
    • Chronic Kidney Disease and Diabetes 5

Christopher L. O’Connor

17 papers receiving 745 citations

Peers

Christopher L. O’Connor
Comparison fields: 5 of 63
  • Nephrology 274
  • Cancer Research 190
  • Molecular Biology 334
  • Immunology 63
  • Transplantation 7
Replace Allie M. Roach with:
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Citations per field
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Allie M. Roach · 1×
Citations per year

Countries citing papers authored by Christopher L. O’Connor

Since Specialization
Citations

This map shows the geographic impact of Christopher L. 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 Christopher L. 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 Christopher L. O’Connor more than expected).

Fields of papers citing papers by Christopher L. O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2016185
2 2015157
3 2014126
4 2016108
5 201958
6 202250
7 202317
8 202112
9 20218
10 20208
11 20214
12 20234
13 20223
14 20213
15 20222
16 20252
17 20241
18 20250
19 20250
20 20220

About Christopher L. O’Connor

Christopher L. O’Connor is a scholar working on Molecular Biology, Nephrology, Pulmonary and Respiratory Medicine, Genetics and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 748 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (8 papers), Chronic Kidney Disease and Diabetes (5 papers), Renal and related cancers (5 papers), Renal cell carcinoma treatment (2 papers), MicroRNA in disease regulation (2 papers), Adolescent and Pediatric Healthcare (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Nephrology (274 citations), Cancer Research (190 citations), Molecular Biology (334 citations), Immunology (63 citations) and Transplantation (7 citations). Christopher L. O’Connor has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Markus Bitzer, Jeffrey B. Hodgin, Jennifer Y. Lai, Robert G. Nelson, Roger C. Wiggins, Yan Yang, Larysa Wickman, Jocelyn Wiggins, Su Q. Wang and Chrysta Meadowbrooke. Their work appears in journals such as Journal of the American Society of Nephrology, American Journal of Physiology-Renal Physiology, Nature Communications, JCI Insight and Journal of the American Society for Mass Spectrometry.

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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