Brenda J. Conner

9 total papers · 795 total citations
8 papers, 653 citations indexed

About

Brenda J. Conner is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Brenda J. Conner has authored 8 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Brenda J. Conner's work include Hemoglobinopathies and Related Disorders (4 papers), Prenatal Screening and Diagnostics (3 papers) and RNA and protein synthesis mechanisms (2 papers). Brenda J. Conner is often cited by papers focused on Hemoglobinopathies and Related Disorders (4 papers), Prenatal Screening and Diagnostics (3 papers) and RNA and protein synthesis mechanisms (2 papers). Brenda J. Conner collaborates with scholars based in United States. Brenda J. Conner's co-authors include R. Bruce Wallace, Raymond L. Teplitz, Keiichi Itakura, Antonio A. Reyes, C Morin, Mario Pirastu, Yuet Wai Kan, Antonio Cao, David E. Comings and Chaka C. Impraim and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Brenda J. Conner

8 papers receiving 581 citations

Hit Papers

Detection of sickle cell ... 1983 2026 1997 2011 1983 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Brenda J. Conner 340 213 164 148 103 8 653
Victoria V. Hargreaves 419 1.2× 143 0.7× 62 0.4× 116 0.8× 48 0.5× 9 568
Nicholas M. Burton 242 0.7× 203 1.0× 172 1.0× 87 0.6× 95 0.9× 15 618
F E Cash 467 1.4× 274 1.3× 189 1.2× 99 0.7× 61 0.6× 12 683
Mei‐Chi Cheung 299 0.9× 77 0.4× 74 0.5× 139 0.9× 171 1.7× 8 597
Anoop K. Sendamarai 314 0.9× 204 1.0× 215 1.3× 33 0.2× 23 0.2× 14 648
D.D. Koeberl 407 1.2× 53 0.2× 139 0.8× 181 1.2× 13 0.1× 9 621
Ching Hon Pui 214 0.6× 86 0.4× 379 2.3× 53 0.4× 121 1.2× 12 665
Jesse V. Kurland 611 1.8× 147 0.7× 69 0.4× 118 0.8× 51 0.5× 10 743
D Banerjee 349 1.0× 36 0.2× 85 0.5× 172 1.2× 23 0.2× 14 555
Adam Cisterne 224 0.7× 71 0.3× 233 1.4× 45 0.3× 17 0.2× 14 569

Countries citing papers authored by Brenda J. Conner

Since Specialization
Citations

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

Fields of papers citing papers by Brenda J. Conner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brenda J. Conner. 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 Brenda J. Conner. The network helps show where Brenda J. Conner may publish in the future.

Co-authorship network of co-authors of Brenda J. Conner

This figure shows the co-authorship network connecting the top 25 collaborators of Brenda J. Conner. A scholar is included among the top collaborators of Brenda J. Conner 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 Brenda J. Conner. Brenda J. Conner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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