Jane L. Armstrong

54 total papers · 7.7k total citations
29 papers, 1.3k citations indexed

About

Jane L. Armstrong is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Jane L. Armstrong has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 12 papers in Cell Biology and 9 papers in Epidemiology. Recurrent topics in Jane L. Armstrong's work include Retinoids in leukemia and cellular processes (11 papers), Autophagy in Disease and Therapy (8 papers) and Endoplasmic Reticulum Stress and Disease (7 papers). Jane L. Armstrong is often cited by papers focused on Retinoids in leukemia and cellular processes (11 papers), Autophagy in Disease and Therapy (8 papers) and Endoplasmic Reticulum Stress and Disease (7 papers). Jane L. Armstrong collaborates with scholars based in United Kingdom, Italy and United States. Jane L. Armstrong's co-authors include Christopher P.F. Redfern, Penny E. Lovat, Gareth J. Veal, David S. Hill, Ross J. Flockhart, Marco Corazzari, Sylvie Bonavaud, Stephen J. Yeaman, Mauro Piacentini and Miguel A. Martín-Acebes and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Diabetes.

In The Last Decade

Jane L. Armstrong

29 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Jane L. Armstrong 780 433 289 144 125 29 1.3k
Zhihua Liu 937 1.2× 401 0.9× 425 1.5× 166 1.2× 154 1.2× 36 1.8k
Yunshan Guo 702 0.9× 320 0.7× 208 0.7× 206 1.4× 71 0.6× 38 1.3k
Roberta Castino 689 0.9× 251 0.6× 461 1.6× 122 0.8× 83 0.7× 35 1.4k
Joung Hyuck Joo 1.0k 1.3× 315 0.7× 445 1.5× 265 1.8× 66 0.5× 18 1.6k
Tim Vervliet 1.1k 1.4× 356 0.8× 251 0.9× 87 0.6× 51 0.4× 42 1.5k
Mei Zheng 967 1.2× 380 0.9× 183 0.6× 290 2.0× 58 0.5× 51 1.7k
Vittoria Pagliarini 790 1.0× 337 0.8× 543 1.9× 64 0.4× 71 0.6× 27 1.4k
Sandra Healy 972 1.2× 884 2.0× 525 1.8× 131 0.9× 61 0.5× 19 1.8k
Lynn Bedford 1.1k 1.4× 361 0.8× 342 1.2× 237 1.6× 49 0.4× 21 1.6k
Paolo Remondelli 634 0.8× 351 0.8× 248 0.9× 73 0.5× 48 0.4× 48 1.3k

Countries citing papers authored by Jane L. Armstrong

Since Specialization
Citations

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

Fields of papers citing papers by Jane L. Armstrong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane L. Armstrong. 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 Jane L. Armstrong. The network helps show where Jane L. Armstrong may publish in the future.

Co-authorship network of co-authors of Jane L. Armstrong

This figure shows the co-authorship network connecting the top 25 collaborators of Jane L. Armstrong. A scholar is included among the top collaborators of Jane L. Armstrong 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 Jane L. Armstrong. Jane L. Armstrong 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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