John Connelly

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

Impact in

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

Papers in

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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Robert A. Galemmo United States
Takao Fujisawa Japan
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Petra Obexer Austria
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Xiaofei Qi China
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Citations per field
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Robert A. Galemmo · 1×
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-authorship network

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
#Work
1 20224
2 202147
3 202119
4 202032
5 202050
6 201922
7 201916
8 2017295
9 201631
10 2016106
11 201612
12 201555
13 201333
14 201316
15
Global Aquaculture Alliance on Best Aquaculture Practices: An Industry Prepares For Sustainable Growth
20104
16 200981
17 20052
18
Zwischen Autonomie und Anpassung : Universitäten in den Diktaturen des 20. Jahrhunderts
20030
19 200347
20
Lead Concentrations in Golden and Bald Eagles
199015

About John Connelly

John Connelly is a scholar working on Virology, Genetics, Infectious Diseases, Hematology and Neurology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include European history and politics (4 papers), Hemoglobinopathies and Related Disorders (4 papers), DNA Repair Mechanisms (3 papers), Biosensors and Analytical Detection (3 papers), HIV/AIDS drug development and treatment (3 papers), Molecular Biology Techniques and Applications (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Cardiac Structural Anomalies and Repair (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, Anne Monks, Antonio Martín‐Bastida, David T. Dexter, Roberta J. Ward, Maneesh C. Patel, Robert R. Crichton, David Sharp and Rexford D. Newbould. 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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