Jessica Connor

28 total papers · 450 total citations
13 papers, 291 citations indexed

About

Jessica Connor is a scholar working on Physiology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jessica Connor has authored 13 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jessica Connor's work include Blood properties and coagulation (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). Jessica Connor is often cited by papers focused on Blood properties and coagulation (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). Jessica Connor collaborates with scholars based in United States. Jessica Connor's co-authors include Kejian Zhang, Raghbir Kaur, John Sterpka, Karl Insogna, Lee D. Katz, Jane H. Zhang, Christine Simpson, Robert Dubrow, Thomas O. Carpenter and C. Alexander Valencia and has published in prestigious journals such as Blood, The Journal of Clinical Endocrinology & Metabolism and Urology.

In The Last Decade

Jessica Connor

13 papers receiving 288 citations

Author Peers

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

Author Last Decade Papers Cites
Jessica Connor 90 80 69 59 41 13 291
S. Carrie Smith 55 0.6× 56 0.7× 25 0.4× 38 0.6× 12 0.3× 13 243
Hisamitsu Baba 47 0.5× 104 1.3× 56 0.8× 28 0.5× 20 0.5× 22 250
Jennifer Lee 26 0.3× 95 1.2× 14 0.2× 92 1.6× 40 1.0× 11 312
Dave Martin 60 0.7× 59 0.7× 64 0.9× 27 0.5× 45 1.1× 9 327
Sarah E. Wean 138 1.5× 133 1.7× 17 0.2× 24 0.4× 19 0.5× 11 325
Niloufar Torkamani 37 0.4× 34 0.4× 19 0.3× 26 0.4× 27 0.7× 17 307
Andrew Wang 42 0.5× 144 1.8× 13 0.2× 93 1.6× 29 0.7× 10 325
Moshe Levin 20 0.2× 86 1.1× 24 0.3× 70 1.2× 31 0.8× 17 305
Iva Gueorguieva 35 0.4× 100 1.3× 28 0.4× 77 1.3× 17 0.4× 20 293
Shun M. Ling 71 0.8× 49 0.6× 10 0.1× 57 1.0× 56 1.4× 12 287

Countries citing papers authored by Jessica Connor

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Connor

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Connor. A scholar is included among the top collaborators of Jessica Connor 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 Jessica Connor. Jessica Connor 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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