John Connolly

582 total citations
14 papers, 378 citations indexed

About

John Connolly is a scholar working on Transplantation, Surgery and Molecular Biology. According to data from OpenAlex, John Connolly has authored 14 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Transplantation, 4 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in John Connolly's work include Renal Transplantation Outcomes and Treatments (5 papers), Organ Donation and Transplantation (3 papers) and Organ Transplantation Techniques and Outcomes (3 papers). John Connolly is often cited by papers focused on Renal Transplantation Outcomes and Treatments (5 papers), Organ Donation and Transplantation (3 papers) and Organ Transplantation Techniques and Outcomes (3 papers). John Connolly collaborates with scholars based in United Kingdom, Singapore and Cameroon. John Connolly's co-authors include Susan Martin, Philip Dyer, Robert W. Johnson, Robert Pearson, Moira K. B. Whyte, Simon J. Foster, James E. McDonald, Alan J. McCarthy, Lynne R. Prince and Jennifer L. Edwards and has published in prestigious journals such as Nature Communications, PLoS ONE and Infection and Immunity.

In The Last Decade

John Connolly

14 papers receiving 371 citations

Peers

John Connolly
Comparison fields: 5 of 89
  • Molecular Biology 120
  • Surgery 86
  • Transplantation 85
  • Ecology 76
  • Public Health, Environmental and Occupational Health 56
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Citations per field, relative to John Connolly
John Connolly · 1×
Citations per year, relative to John Connolly
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Countries citing papers authored by John Connolly

Since Specialization
Citations

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

Fields of papers citing papers by John Connolly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Connolly

This figure shows the co-authorship network connecting the top 25 collaborators of John Connolly. A scholar is included among the top collaborators of John Connolly based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Connolly. John Connolly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 48
2 45
3 39
4 42
5 70
6 5
7 16
8 10
9 81
10
Cytokine gene expression and eicosanoid production in renal reperfusion injury.
6
11
HLA-DR mismatching in cadaveric kidney transplantation minimized through organ sharing for 1000 consecutive transplants.
1
12 10
13 4
14
Importance of HLA matching in highly sensitised renal transplant recipients with high transplant survival rates. The Manchester Kidney Transplant Team.
1

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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