John Connelly

1.7k citations
36 papers · 1.1k · h-index 16

Impact in

  • Hematology top 10%
    • Iron Metabolism and Disorders
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders

Papers in

    • DNA Repair Mechanisms 3
    • Advanced biosensing and bioanalysis techniques 3
    • Molecular Biology Techniques and Applications 3
    • Protein Degradation and Inhibitors 2
    • HIV/AIDS drug development and treatment 3

John Connelly

32 papers receiving 1.0k citations

Peers

John Connelly
Comparison fields: 5 of 113
  • Hematology 134
  • Genetics 105
  • Neurology 76
  • Nutrition and Dietetics 130
  • Neurology 124
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Citations per field
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Citations per year

Countries citing papers authored by John Connelly

Since Specialization
Citations

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

Fields of papers citing papers by John Connelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017295
2 2016106
3 201099
4 200981
5 201555
6 201452
7 202050
8 202147
9 200347
10 201333
11 202032
12 201631
13 201922
14 202119
15 201316
16 201916
17
Lead Concentrations in Golden and Bald Eagles
199015
18 201214
19 201612
20 202110

About John Connelly

John Connelly is a scholar working on Molecular Biology, Infectious Diseases, Oncology, Political Science and International Relations and Genetics, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (4 papers), European history and politics (4 papers), DNA Repair Mechanisms (3 papers), Biosensors and Analytical Detection (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Molecular Biology Techniques and Applications (3 papers), HIV/AIDS drug development and treatment (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Hematology (134 citations), Genetics (105 citations), Neurology (76 citations), Nutrition and Dietetics (130 citations) and Neurology (124 citations). John Connelly has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Michael Spino, Fernando Tricta, Robert R. Crichton, Antonio Martín‐Bastida, Anne Monks, Rexford D. Newbould, Paola Piccini, David Sharp, Roberta J. Ward and David T. Dexter. Their work appears in journals such as PLoS ONE, Molecular Cancer Therapeutics, Scientific Reports, Molecular Pharmacology and German Studies Review.

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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