Elizabeth M. Long

11 total papers · 734 total citations
9 papers, 614 citations indexed

About

Elizabeth M. Long is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Elizabeth M. Long has authored 9 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Cancer Research. Recurrent topics in Elizabeth M. Long's work include Immune Response and Inflammation (5 papers), Immune cells in cancer (3 papers) and RNA modifications and cancer (2 papers). Elizabeth M. Long is often cited by papers focused on Immune Response and Inflammation (5 papers), Immune cells in cancer (3 papers) and RNA modifications and cancer (2 papers). Elizabeth M. Long collaborates with scholars based in Canada, United States and Australia. Elizabeth M. Long's co-authors include Stephen M. Robbins, Paul Kubes, Graciela Andonegui, Holly Van Remmen, Samantha A. Tavener, R C O Zanardo, Benoît M. Lapointe, Claudine S. Bonder, Will G. James and Michael J. Hickey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Elizabeth M. Long

9 papers receiving 600 citations

Author Peers

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

Author Last Decade Papers Cites
Elizabeth M. Long 325 224 97 95 57 9 614
Fang Jia-Zhu 188 0.6× 219 1.0× 81 0.8× 54 0.6× 37 0.6× 11 523
Matheus Ferracini 216 0.7× 189 0.8× 66 0.7× 113 1.2× 19 0.3× 13 593
May F. Tsen 527 1.6× 209 0.9× 234 2.4× 117 1.2× 20 0.4× 7 686
Heitor A. Paula-Neto 323 1.0× 203 0.9× 56 0.6× 213 2.2× 30 0.5× 14 671
Kristina M. Little 287 0.9× 248 1.1× 77 0.8× 75 0.8× 23 0.4× 8 641
Irina Ushach 293 0.9× 175 0.8× 45 0.5× 97 1.0× 31 0.5× 11 674
Yuzo Kodaira 442 1.4× 168 0.8× 54 0.6× 98 1.0× 31 0.5× 10 684
Alexandra Smith 308 0.9× 136 0.6× 46 0.5× 83 0.9× 37 0.6× 8 588
Tobias Pusterla 250 0.8× 261 1.2× 84 0.9× 65 0.7× 29 0.5× 9 635
Bart Everaerdt 366 1.1× 209 0.9× 78 0.8× 106 1.1× 22 0.4× 17 636

Countries citing papers authored by Elizabeth M. Long

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth M. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth M. Long. 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 Elizabeth M. Long. The network helps show where Elizabeth M. Long may publish in the future.

Co-authorship network of co-authors of Elizabeth M. Long

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth M. Long. A scholar is included among the top collaborators of Elizabeth M. Long 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 Elizabeth M. Long. Elizabeth M. Long 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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