Patrick Archdeacon

1.7k citations
25 papers · 1.5k · h-index 17

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Nephrology top 5%
    • Dialysis and Renal Disease Management
    • Chronic Kidney Disease and Diabetes

Papers in

    • Chronic Kidney Disease and Diabetes 4
    • Dialysis and Renal Disease Management 3
    • Renal Transplantation Outcomes and Treatments 4

Patrick Archdeacon

25 papers receiving 1.4k citations

Peers

Patrick Archdeacon
Comparison fields: 5 of 114
  • Transplantation 241
  • Nephrology 233
  • Cellular and Molecular Neuroscience 206
  • Statistics and Probability 75
  • Molecular Biology 521
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Huang Sm United States
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Citations per field
00.5×5×10×15×20×22.9×
Huang Sm · 1×
Citations per year

Countries citing papers authored by Patrick Archdeacon

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Archdeacon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994391
2 2011151
3 1994138
4 2013117
5 2017113
6 201297
7 201563
8 201346
9 201744
10 201441
11 201431
12 201631
13 201730
14 201629
15 201425
16 201625
17 201617
18 201315
19 201815
20 200813

About Patrick Archdeacon

Patrick Archdeacon is a scholar working on Nephrology, Transplantation, Statistics and Probability, Public Health, Environmental and Occupational Health and Toxicology, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (4 papers), Renal Transplantation Outcomes and Treatments (4 papers), Chronic Kidney Disease and Diabetes (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Dialysis and Renal Disease Management (3 papers), Organ Donation and Transplantation (2 papers), Chronic Disease Management Strategies (2 papers) and Meta-analysis and systematic reviews (2 papers). The work is most often cited by research in Transplantation (241 citations), Nephrology (233 citations), Cellular and Molecular Neuroscience (206 citations), Statistics and Probability (75 citations) and Molecular Biology (521 citations). Patrick Archdeacon has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Christine M. Kaufmann, Myles H. Akabas, Arthur Karlin, Renata Albrecht, Jacob L. Meyer, Tiffany A. Cook, Carolyn Y. Neuland, Ana M Guerreiro Hernández, Marc W. Cavaillé-Coll and Ergun Velidedeoğlu. Their work appears in journals such as Clinical Trials, Clinical Journal of the American Society of Nephrology, American Journal of Transplantation, Journal of the American Society of Nephrology and Pharmacoepidemiology and Drug Safety.

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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