Frank Fleischer

1.2k citations
47 papers · 911 · h-index 17

Impact in

    • Point processes and geometric inequalities
  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions

Papers in

    • Point processes and geometric inequalities 14
    • HER2/EGFR in Cancer Research 4
    • Cancer Treatment and Pharmacology 3

Frank Fleischer

46 papers receiving 884 citations

Peers

Frank Fleischer
Comparison fields: 5 of 139
  • Applied Mathematics 118
  • Cell Biology 135
  • Computer Graphics and Computer-Aided Design 28
  • Neurology 67
  • Oncology 218
Replace Michael D. Wong with:
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Citations per field
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Michael D. Wong · 1×
Citations per year

Countries citing papers authored by Frank Fleischer

Since Specialization
Citations

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

Fields of papers citing papers by Frank Fleischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Frank Fleischer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frank Fleischer Line = papers co-authored together Frank Fleischer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200779
2 201271
3 201270
4 200863
5 200951
6 200641
7 200638
8 201338
9 200135
10 200030
11 200529
12 200928
13 200726
14 201225
15 200922
16 201018
17 200517
18 200516
19 200716
20 200514

About Frank Fleischer

Frank Fleischer is a scholar working on Applied Mathematics, Oncology, Cell Biology, Economics and Econometrics and Geometry and Topology, having authored 47 papers that have together received 911 indexed citations. Recurring topics across this work include Point processes and geometric inequalities (14 papers), Morphological variations and asymmetry (6 papers), Statistical Methods in Clinical Trials (5 papers), Cellular Mechanics and Interactions (5 papers), HER2/EGFR in Cancer Research (4 papers), Computational Geometry and Mesh Generation (4 papers), Spatial and Panel Data Analysis (4 papers) and Cancer Treatment and Pharmacology (3 papers). The work is most often cited by research in Applied Mathematics (118 citations), Cell Biology (135 citations), Computer Graphics and Computer-Aided Design (28 citations), Neurology (67 citations) and Oncology (218 citations). Frank Fleischer has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include Volker Schmidt, Catherine Gloaguen, Torsten Mattfeldt, Hendrik Schmidt, Erich Bluhmki, Birgit Gaschler‐Markefski, Shozo Jinno, Toshio Kosaka, Michael Beil and Werner Lehnert. Their work appears in journals such as Journal of Microscopy, Journal of Theoretical Biology, Journal of Clinical Oncology, Statistics in Medicine and Blood.

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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