John G. Conboy

13.6k citations
73 papers · 3.9k · h-index 38

Impact in

  • Physiology top 1%
    • Erythrocyte Function and Pathophysiology
    • Cellular transport and secretion

Papers in

    • RNA Research and Splicing 32
    • RNA modifications and cancer 25
    • RNA and protein synthesis mechanisms 20
    • Erythrocyte Function and Pathophysiology 40

John G. Conboy

73 papers receiving 3.8k citations

Peers

John G. Conboy
Comparison fields: 5 of 90
  • Physiology 1.4k
  • Cell Biology 808
  • Molecular Biology 2.7k
  • Clinical Biochemistry 238
  • Hematology 263
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Citations per field
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Citations per year

Countries citing papers authored by John G. Conboy

Since Specialization
Citations

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

Fields of papers citing papers by John G. Conboy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013257
2 1986182
3 2015138
4 1991133
5 1999123
6 1988120
7 2000114
8 1992113
9 1982111
10
Structure, function, and molecular genetics of erythroid membrane skeletal protein 4.1 in normal and abnormal red blood cells.
1993101
11 199998
12 199898
13 199897
14 199397
15
Fox-2 Splicing Factor Binds to a Conserved Intron Motif to Promote Inclusion of Protein \n4.1R Alternative Exon 16
200694
16 201694
17 200891
18 197986
19 200083
20 201176

About John G. Conboy

John G. Conboy is a scholar working on Molecular Biology, Physiology, Pulmonary and Respiratory Medicine, Cell Biology and Clinical Biochemistry, having authored 73 papers that have together received 3.9k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (40 papers), RNA Research and Splicing (32 papers), RNA modifications and cancer (25 papers), Blood properties and coagulation (23 papers), RNA and protein synthesis mechanisms (20 papers), Cellular transport and secretion (7 papers), Metabolism and Genetic Disorders (5 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Physiology (1.4k citations), Cell Biology (808 citations), Molecular Biology (2.7k citations), Clinical Biochemistry (238 citations) and Hematology (263 citations). John G. Conboy has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Narla Mohandas, Marilyn Parra, Yuet Wai Kan, Joel Anne Chasis, Sherry L. Gee, N Mohandas, Loren D. Walensky, Leah Rosenberg, Philippe Gascard and Solomon H. Snyder. Their work appears in journals such as Blood, Journal of Biological Chemistry, Journal of Clinical Investigation, Proceedings of the National Academy of Sciences and Genomics.

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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