Jennifer Chase

25 total papers · 724 total citations
10 papers, 212 citations indexed

About

Jennifer Chase is a scholar working on Molecular Biology, Hematology and Physiology. According to data from OpenAlex, Jennifer Chase has authored 10 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Hematology and 4 papers in Physiology. Recurrent topics in Jennifer Chase's work include Acute Myeloid Leukemia Research (5 papers), Epigenetics and DNA Methylation (4 papers) and Telomeres, Telomerase, and Senescence (2 papers). Jennifer Chase is often cited by papers focused on Acute Myeloid Leukemia Research (5 papers), Epigenetics and DNA Methylation (4 papers) and Telomeres, Telomerase, and Senescence (2 papers). Jennifer Chase collaborates with scholars based in United States, Switzerland and Japan. Jennifer Chase's co-authors include Ivan Maillard, Morgan Jones, Ann Friedman, Rami Khoriaty, Bin Zhang, Matthew P. Vasievich, David Ginsburg, Lesley Everett, Tomasz Cierpicki and Hua Lin and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Molecular and Cellular Biology.

In The Last Decade

Jennifer Chase

10 papers receiving 210 citations

Author Peers

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

Author Last Decade Papers Cites
Jennifer Chase 136 62 50 35 30 10 212
Adi Har‐Zahav 139 1.0× 53 0.9× 48 1.0× 11 0.3× 29 1.0× 14 252
Andrei M. Vacaru 120 0.9× 23 0.4× 38 0.8× 18 0.5× 35 1.2× 16 194
Aaron Bernstein 81 0.6× 13 0.2× 28 0.6× 25 0.7× 81 2.7× 7 218
Patroula Smpokou 195 1.4× 17 0.3× 30 0.6× 8 0.2× 12 0.4× 12 275
Edwin Oole 118 0.9× 13 0.2× 46 0.9× 22 0.6× 13 0.4× 8 219
Leentje De Ceuninck 146 1.1× 15 0.2× 21 0.4× 25 0.7× 45 1.5× 10 264
Anna Cmoch 97 0.7× 13 0.2× 62 1.2× 9 0.3× 19 0.6× 7 192
Grace Collord 92 0.7× 47 0.8× 20 0.4× 66 1.9× 5 0.2× 9 214
Stella J. Nylund 172 1.3× 9 0.1× 26 0.5× 89 2.5× 31 1.0× 11 289
Arthur Flohr Svendsen 87 0.6× 32 0.5× 33 0.7× 94 2.7× 12 0.4× 11 243

Countries citing papers authored by Jennifer Chase

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Chase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Chase

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