Julia S. Gerke

36 total papers · 908 total citations
4 papers, 81 citations indexed

About

Julia S. Gerke is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Julia S. Gerke has authored 4 papers receiving a total of 81 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pulmonary and Respiratory Medicine, 2 papers in Oncology and 1 paper in Molecular Biology. Recurrent topics in Julia S. Gerke's work include Sarcoma Diagnosis and Treatment (2 papers), biodegradable polymer synthesis and properties (1 paper) and Cellular Mechanics and Interactions (1 paper). Julia S. Gerke is often cited by papers focused on Sarcoma Diagnosis and Treatment (2 papers), biodegradable polymer synthesis and properties (1 paper) and Cellular Mechanics and Interactions (1 paper). Julia S. Gerke collaborates with scholars based in Germany, United States and Canada. Julia S. Gerke's co-authors include Martin F. Orth, Giuseppina Sannino, Thomas G. P. Grünewald, Rebeca Alba Rubío, Jing Li, Aruna Marchetto, Horacio Bach, Shunya Ohmura, Julian Musa and Stefanie Stein and has published in prestigious journals such as Cell Death and Disease, Oncotarget and Polymers.

In The Last Decade

Julia S. Gerke

4 papers receiving 79 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 S. Gerke 43 23 17 14 11 4 81
Alicia M. Douglas 31 0.7× 31 1.3× 10 0.6× 7 0.5× 18 1.6× 5 121
Tilman L. B. Hölting 60 1.4× 16 0.7× 23 1.4× 19 1.4× 7 0.6× 3 83
Kanthinh Manivong 57 1.3× 32 1.4× 11 0.6× 8 0.6× 5 0.5× 5 89
George Yeung 88 2.0× 43 1.9× 15 0.9× 11 0.8× 12 1.1× 4 219
Anna Calinawan 53 1.2× 32 1.4× 9 0.5× 22 1.6× 8 0.7× 4 96
Geronimo Dubra 53 1.2× 24 1.0× 8 0.5× 11 0.8× 11 1.0× 3 98
Sean Mizzi 59 1.4× 17 0.7× 14 0.8× 39 2.8× 13 1.2× 3 137
Jinyoung Sohn 44 1.0× 25 1.1× 13 0.8× 12 0.9× 5 0.5× 6 101
Christina Heichler 29 0.7× 24 1.0× 12 0.7× 6 0.4× 12 1.1× 5 91
Fanying Tang 73 1.7× 35 1.5× 8 0.5× 22 1.6× 11 1.0× 5 106

Countries citing papers authored by Julia S. Gerke

Since Specialization
Citations

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

Fields of papers citing papers by Julia S. Gerke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia S. Gerke

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