John G. Conboy

21.7k citations
78 papers · 17.4k · 2 hit papers · h-index 40

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
  • Genetics top 0.2%
    • Glioma Diagnosis and Treatment

Papers in

    • Erythrocyte Function and Pathophysiology 38
    • RNA Research and Splicing 33
    • RNA modifications and cancer 24
    • RNA and protein synthesis mechanisms 20
    • Nuclear Structure and Function 4

John G. Conboy

78 papers receiving 17.0k citations

John G. Conboy's Hit Papers

Integrated genomic analyses of ovarian carcinoma 2011 · 6.3k citations
6.3k0+6+12Years since publication2.0k4.0k6.0k

Peers

John G. Conboy
Comparison fields: 5 of 133
  • Cancer Research 4.2k
  • Genetics 2.6k
  • Reproductive Medicine 1.8k
  • Molecular Biology 9.8k
  • Oncology 3.1k
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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 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comprehensive genomic characterization defines human glioblastoma genes and core pathways
Hit paper breakdown →
20086384
2
Integrated genomic analyses of ovarian carcinoma
Hit paper breakdown →
20116345
3 1998455
4 2013279
5 1986190
6 2015139
7 1991134
8 1992127
9 1999127
10 1988123
11 1982122
12 2000118
13
Structure, function, and molecular genetics of erythroid membrane skeletal protein 4.1 in normal and abnormal red blood cells.
1993106
14 1999103
15 2016102
16 1998101
17 199399
18 199899
19 200897
20 201097

About John G. Conboy

John G. Conboy is a scholar working on Physiology, Molecular Biology, Pulmonary and Respiratory Medicine, Cell Biology and Cancer Research, having authored 78 papers that have together received 17.4k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (38 papers), RNA Research and Splicing (33 papers), RNA modifications and cancer (24 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 Nuclear Structure and Function (4 papers). The work is most often cited by research in Cancer Research (4.2k citations), Genetics (2.6k citations), Reproductive Medicine (1.8k citations), Molecular Biology (9.8k citations) and Oncology (3.1k 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, Leah Rosenberg, N Mohandas, Loren D. Walensky, Philippe D. Gascard and Mireya Parra. Their work appears in journals such as Blood, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of Clinical Investigation 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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