Gabriele Greve

45 total papers · 756 total citations
19 papers, 463 citations indexed

About

Gabriele Greve is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Gabriele Greve has authored 19 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Hematology and 4 papers in Oncology. Recurrent topics in Gabriele Greve's work include Histone Deacetylase Inhibitors Research (10 papers), Acute Myeloid Leukemia Research (10 papers) and Epigenetics and DNA Methylation (8 papers). Gabriele Greve is often cited by papers focused on Histone Deacetylase Inhibitors Research (10 papers), Acute Myeloid Leukemia Research (10 papers) and Epigenetics and DNA Methylation (8 papers). Gabriele Greve collaborates with scholars based in Germany, United States and Switzerland. Gabriele Greve's co-authors include Michael Lübbert, John Charles Rotondo, Dietmar Pfeifer, Manfred Jung, Nadja Blagitko‐Dorfs, Julia Schüler, Milena Pantić, Christoph Plass, Pascal Schlosser and David Brocks and has published in prestigious journals such as PLoS ONE, International Journal of Cancer and European Journal of Medicinal Chemistry.

In The Last Decade

Gabriele Greve

17 papers receiving 463 citations

Author Peers

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

Author Last Decade Papers Cites
Gabriele Greve 366 145 92 70 46 19 463
Jihui Qiu 393 1.1× 137 0.9× 73 0.8× 68 1.0× 33 0.7× 16 512
Chu Myong Seong 361 1.0× 120 0.8× 134 1.5× 51 0.7× 36 0.8× 30 512
Sijana H. Dzinic 308 0.8× 218 1.5× 79 0.9× 64 0.9× 35 0.8× 15 468
Anissa M. Jabbour 401 1.1× 126 0.9× 109 1.2× 64 0.9× 114 2.5× 19 549
Qiang Zhang 300 0.8× 83 0.6× 209 2.3× 68 1.0× 25 0.5× 20 452
Anuradha Illendula 314 0.9× 190 1.3× 86 0.9× 44 0.6× 51 1.1× 19 430
Giovanna Ferrari‐Amorotti 327 0.9× 90 0.6× 145 1.6× 112 1.6× 51 1.1× 18 493
Rolf M. Huseby 161 0.4× 126 0.9× 67 0.7× 128 1.8× 35 0.8× 17 478
A. Keith Stewart 205 0.6× 134 0.9× 131 1.4× 37 0.5× 60 1.3× 17 417
Siddhartha Sen 283 0.8× 92 0.6× 106 1.2× 43 0.6× 90 2.0× 15 409

Countries citing papers authored by Gabriele Greve

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Greve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Greve

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