Julia Kirshner

45 total papers · 1.0k total citations
30 papers, 845 citations indexed

About

Julia Kirshner is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Julia Kirshner has authored 30 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hematology, 11 papers in Molecular Biology and 11 papers in Oncology. Recurrent topics in Julia Kirshner's work include Multiple Myeloma Research and Treatments (12 papers), Cell Adhesion Molecules Research (5 papers) and Cancer Cells and Metastasis (5 papers). Julia Kirshner is often cited by papers focused on Multiple Myeloma Research and Treatments (12 papers), Cell Adhesion Molecules Research (5 papers) and Cancer Cells and Metastasis (5 papers). Julia Kirshner collaborates with scholars based in United States, Canada and India. Julia Kirshner's co-authors include John E. Shively, Charng-Jui Chen, Jie Huang, Linda M. Pilarski, Andrew R. Belch, Tony Reiman, David A. Colby, Detlef Schumann, Martin F. Lavin and Michael F. Jobling and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Julia Kirshner

29 papers receiving 817 citations

Author Peers

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

Author Last Decade Papers Cites
Julia Kirshner 379 368 173 166 97 30 845
James M. Onoda 230 0.6× 300 0.8× 163 0.9× 91 0.5× 137 1.4× 33 792
S. Virudachalam 357 0.9× 645 1.8× 100 0.6× 202 1.2× 183 1.9× 17 992
Zhen Wang 355 0.9× 559 1.5× 78 0.5× 111 0.7× 73 0.8× 53 1.0k
Doreen LePage 290 0.8× 450 1.2× 52 0.3× 131 0.8× 85 0.9× 24 887
Simon A. Williams 343 0.9× 527 1.4× 91 0.5× 101 0.6× 192 2.0× 26 994
Maureen Dougher 586 1.5× 343 0.9× 93 0.5× 432 2.6× 41 0.4× 24 1.0k
Trevor Price 305 0.8× 330 0.9× 166 1.0× 31 0.2× 139 1.4× 21 826
E Niskanen 493 1.3× 481 1.3× 227 1.3× 98 0.6× 182 1.9× 50 1.0k
Wells S. Brown 266 0.7× 547 1.5× 57 0.3× 46 0.3× 206 2.1× 24 886
Yan Huang 429 1.1× 410 1.1× 107 0.6× 41 0.2× 235 2.4× 33 902

Countries citing papers authored by Julia Kirshner

Since Specialization
Citations

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

Fields of papers citing papers by Julia Kirshner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Kirshner

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