Frank Fleischer

1.2k total citations
47 papers, 911 citations indexed

About

Frank Fleischer is a scholar working on Applied Mathematics, Oncology and Cell Biology. According to data from OpenAlex, Frank Fleischer has authored 47 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Applied Mathematics, 9 papers in Oncology and 9 papers in Cell Biology. Recurrent topics in Frank Fleischer's work include Point processes and geometric inequalities (14 papers), Morphological variations and asymmetry (6 papers) and Cellular Mechanics and Interactions (5 papers). Frank Fleischer is often cited by papers focused on Point processes and geometric inequalities (14 papers), Morphological variations and asymmetry (6 papers) and Cellular Mechanics and Interactions (5 papers). Frank Fleischer collaborates with scholars based in Germany, France and Switzerland. Frank Fleischer's co-authors include Volker Schmidt, Catherine Gloaguen, Torsten Mattfeldt, Hendrik Schmidt, Birgit Gaschler‐Markefski, Erich Bluhmki, Toshio Kosaka, Shozo Jinno, Michael Beil and Christoph Hartnig and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Circulation Research.

In The Last Decade

Frank Fleischer

46 papers receiving 884 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frank Fleischer Germany 17 218 211 135 118 108 47 911
Leili Shahriyari United States 16 245 1.1× 213 1.0× 41 0.3× 21 0.2× 138 1.3× 33 811
Tae Soo Kim South Korea 19 251 1.2× 347 1.6× 19 0.1× 39 0.3× 147 1.4× 61 1.1k
Martin Brady United States 21 63 0.3× 179 0.8× 14 0.1× 8 0.1× 99 0.9× 58 1.5k
Michael D. Wong Canada 18 18 0.1× 323 1.5× 100 0.7× 32 0.3× 28 0.3× 31 980
Tetsuya Koyama Japan 17 98 0.4× 279 1.3× 45 0.3× 4 0.0× 76 0.7× 65 885
Chenliang Zhang China 25 119 0.5× 255 1.2× 47 0.3× 3 0.0× 63 0.6× 81 1.4k
Shigeyuki Oba Japan 20 205 0.9× 667 3.2× 47 0.3× 3 0.0× 287 2.7× 53 1.6k
Avner Friedman United States 11 127 0.6× 276 1.3× 90 0.7× 43 0.4× 76 0.7× 25 794
Rebecka Jörnsten Sweden 19 79 0.4× 753 3.6× 74 0.5× 4 0.0× 48 0.4× 44 1.4k
Albert Murtha Canada 26 255 1.2× 242 1.1× 29 0.2× 8 0.1× 828 7.7× 86 2.3k

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-authorship network of co-authors of Frank Fleischer

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

All Works

20 of 20 papers shown
1.
Deng, Qiqi, et al.. (2023). Bayesian hierarchical model for dose-finding trial incorporating historical data. Journal of Biopharmaceutical Statistics. 34(5). 646–660.
2.
Lang, Benjamin, et al.. (2018). A comparison of group sequential and fixed sample size designs for bioequivalence trials with highly variable drugs. European Journal of Clinical Pharmacology. 74(5). 549–559. 5 indexed citations
3.
Schüler, Martin, Ahmad Awada, Philipp Harter, et al.. (2012). A phase II trial to assess efficacy and safety of afatinib in extensively pretreated patients with HER2-negative metastatic breast cancer. Breast Cancer Research and Treatment. 134(3). 1149–1159. 71 indexed citations
4.
5.
Awada, Ahmad, Herlinde Dumez, Alain Hendlisz, et al.. (2012). Phase I study of pulsatile 3-day administration of afatinib (BIBW 2992) in combination with docetaxel in advanced solid tumors. Investigational New Drugs. 31(3). 734–741. 25 indexed citations
6.
Mattfeldt, Torsten, et al.. (2009). Statistical analysis of labelling patterns of mammary carcinoma cell nuclei on histological sections. Journal of Microscopy. 235(1). 106–118. 9 indexed citations
7.
Fleischer, Frank, Birgit Gaschler‐Markefski, & Erich Bluhmki. (2009). A statistical model for the dependence between progression‐free survival and overall survival. Statistics in Medicine. 28(21). 2669–2686. 51 indexed citations
8.
Fleischer, Frank, et al.. (2009). Modelling Tree Roots in Mixed Forest Stands by Inhomogeneous Marked Gibbs Point Processes. Biometrical Journal. 51(3). 522–539. 4 indexed citations
9.
Beil, Michael, et al.. (2008). Simulating the formation of keratin filament networks by a piecewise-deterministic Markov process. Journal of Theoretical Biology. 256(4). 518–532. 14 indexed citations
10.
Mattfeldt, Torsten, et al.. (2007). Statistical modelling of the geometry of planar sections of prostatic capillaries on the basis of stationary Strauss hard‐core processes. Journal of Microscopy. 228(3). 272–281. 14 indexed citations
11.
Mayer, Johannes, et al.. (2007). Testing randomized software by means of statistical hypothesis tests. 46–54. 5 indexed citations
12.
Jinno, Shozo, et al.. (2007). Spatial arrangement of microglia in the mouse hippocampus: A stereological study in comparison with astrocytes. Glia. 55(13). 1334–1347. 79 indexed citations
13.
Mattfeldt, Torsten, et al.. (2006). Statistical analysis of reduced pair correlation functions of capillaries in the prostate gland. Journal of Microscopy. 223(2). 107–119. 38 indexed citations
14.
Beil, Michael, et al.. (2005). Quantitative analysis of keratin filament networks in scanning electron microscopy images of cancer cells. Journal of Microscopy. 220(2). 84–95. 29 indexed citations
15.
Beil, Michael, et al.. (2005). Fitting of random tessellation models to keratin filament networks. Journal of Theoretical Biology. 241(1). 62–72. 14 indexed citations
16.
Mattfeldt, Torsten & Frank Fleischer. (2005). Bootstrap methods for statistical inference from stereological estimates of volume fraction. Journal of Microscopy. 218(2). 160–170. 8 indexed citations
17.
Beil, Michael, et al.. (2005). Statistical analysis of the three‐dimensional structure of centromeric heterochromatin in interphase nuclei. Journal of Microscopy. 217(1). 60–68. 16 indexed citations
18.
Fleischer, Frank, et al.. (2001). Staatliche Förderung von Forschung und Entwicklung in der ostdeutschen Wirtschaft : eine Bilanz. DIW Wochenbericht. 68(35). 537–544. 3 indexed citations
19.
Fleischer, Frank. (2001). Stress kinase inhibition modulates acute experimental pancreatitis. World Journal of Gastroenterology. 7(2). 259–259. 35 indexed citations
20.
Höfken, Thomas, Nadine Keller, Frank Fleischer, B Göke, & A Wagner. (2000). Map Kinase Phosphatases (MKP's) Are Early Responsive Genes during Induction of Cerulein Hyperstimulation Pancreatitis. Biochemical and Biophysical Research Communications. 276(2). 680–685. 30 indexed citations

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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