Gabriele Prescher

24 total papers · 1.8k total citations
16 papers, 1.3k citations indexed

About

Gabriele Prescher is a scholar working on Ophthalmology, Molecular Biology and Cell Biology. According to data from OpenAlex, Gabriele Prescher has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ophthalmology, 8 papers in Molecular Biology and 6 papers in Cell Biology. Recurrent topics in Gabriele Prescher's work include Ocular Oncology and Treatments (11 papers), melanin and skin pigmentation (3 papers) and Microtubule and mitosis dynamics (3 papers). Gabriele Prescher is often cited by papers focused on Ocular Oncology and Treatments (11 papers), melanin and skin pigmentation (3 papers) and Microtubule and mitosis dynamics (3 papers). Gabriele Prescher collaborates with scholars based in Germany, France and United States. Gabriele Prescher's co-authors include Bernhard Horsthemke, KH Jöckel, Norbert Bornfeld, Michael Zeschnigk, Dietmar Lohmann, R. Becher, Frank Tschentscher, Thomas Cremer, Michael R. Speicher and Stanislas du Manoir and has published in prestigious journals such as The Lancet, JNCI Journal of the National Cancer Institute and European Journal of Biochemistry.

In The Last Decade

Gabriele Prescher

16 papers receiving 1.3k citations

Hit Papers

Prognostic implications o... 1996 2026 2006 2016 1996 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Gabriele Prescher 1.1k 535 530 233 198 16 1.3k
M. Laurin Council 821 0.8× 713 1.3× 620 1.2× 314 1.3× 145 0.7× 31 1.6k
Mert Sozen 685 0.6× 686 1.3× 510 1.0× 271 1.2× 102 0.5× 20 1.3k
Jolanda Vaarwater 967 0.9× 501 0.9× 453 0.9× 361 1.5× 180 0.9× 36 1.1k
Bernhard Horsthemke 670 0.6× 631 1.2× 342 0.6× 147 0.6× 124 0.6× 16 1.2k
Christina L. Decatur 729 0.7× 657 1.2× 424 0.8× 443 1.9× 101 0.5× 29 1.3k
Emma Kujala 1.0k 1.0× 362 0.7× 460 0.9× 233 1.0× 234 1.2× 9 1.1k
Hima Anbunathan 424 0.4× 616 1.2× 675 1.3× 439 1.9× 72 0.4× 10 1.2k
Qianjin Hu 224 0.2× 1.1k 2.1× 774 1.5× 201 0.9× 38 0.2× 14 1.6k
Gloria Balaban 107 0.1× 1.0k 1.9× 630 1.2× 209 0.9× 114 0.6× 23 1.7k
Steven A. Madreperla 1.1k 1.0× 407 0.8× 222 0.4× 31 0.1× 749 3.8× 25 1.6k

Countries citing papers authored by Gabriele Prescher

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Prescher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Prescher

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Prescher. A scholar is included among the top collaborators of Gabriele Prescher 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 Prescher. Gabriele Prescher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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