Frank Wiesmann

710 total citations
8 papers, 609 citations indexed

About

Frank Wiesmann is a scholar working on Molecular Biology, Genetics and Fluid Flow and Transfer Processes. According to data from OpenAlex, Frank Wiesmann has authored 8 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Fluid Flow and Transfer Processes. Recurrent topics in Frank Wiesmann's work include Epigenetics and DNA Methylation (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Cancer-related gene regulation (3 papers). Frank Wiesmann is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Cancer-related gene regulation (3 papers). Frank Wiesmann collaborates with scholars based in Germany, Switzerland and India. Frank Wiesmann's co-authors include Edgar Dahl, Ruth Knüchel, Jürgen Veeck, Eva Klopocki, Oliver Galm, Dieter Niederacher, Beate Betz, Manfred Zeidler, H. Bertagnolli and P. Chieux and has published in prestigious journals such as Oncogene, International Journal of Cancer and Molecular Physics.

In The Last Decade

Frank Wiesmann

8 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frank Wiesmann Germany	8	453	85	84	72	60	8	609
Hiroshi Takatera Japan	13	128 0.3×	42 0.5×	54 0.6×	76 1.1×	152 2.5×	32	571
J. Ferreira Belgium	9	259 0.6×	81 1.0×	105 1.3×	21 0.3×	292 4.9×	15	685
Tadashi Murase Japan	11	254 0.6×	51 0.6×	178 2.1×	14 0.2×	122 2.0×	24	712
Patrick E. Bogard United States	8	253 0.6×	38 0.4×	42 0.5×	69 1.0×	106 1.8×	10	494
Michael Diem United States	14	466 1.0×	46 0.5×	58 0.7×	25 0.3×	7 0.1×	17	685
Terry Roberts United Kingdom	10	282 0.6×	52 0.6×	77 0.9×	39 0.5×	22 0.4×	26	479
William R. Hargreaves United States	7	781 1.7×	16 0.2×	112 1.3×	83 1.2×	191 3.2×	7	1.3k
L Villeneuve Canada	12	262 0.6×	41 0.5×	91 1.1×	40 0.6×	99 1.6×	16	584
Cornelia Matei United States	18	233 0.5×	114 1.3×	194 2.3×	57 0.8×	122 2.0×	25	852
Maged Khalil United States	9	140 0.3×	93 1.1×	176 2.1×	14 0.2×	115 1.9×	24	516

Countries citing papers authored by Frank Wiesmann

Since Specialization

Citations

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

Fields of papers citing papers by Frank Wiesmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Wiesmann

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

All Works

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8 of 8 papers shown

Dahl, Edgar, Abdelaziz En‐Nia, Frank Wiesmann, et al.. (2009). Nuclear detection of Y-boxprotein-1 (YB-1) closely associates with progesterone receptor negativity and is a strong adverse survival factor in human breast cancer. BMC Cancer. 9(1). 410–410. 55 indexed citations

Wiesmann, Frank, Jürgen Veeck, Oliver Galm, et al.. (2009). Frequent loss of endothelin-3 (EDN3) expression due to epigenetic inactivation in human breast cancer. Breast Cancer Research. 11(3). R34–R34. 42 indexed citations

Sadr‐Nabavi, Ariane, Juliane Ramser, Jens Volkmann, et al.. (2008). Decreased expression of angiogenesis antagonist EFEMP1 in sporadic breast cancer is caused by aberrant promoter methylation and points to an impact of EFEMP1 as molecular biomarker. International Journal of Cancer. 124(7). 1727–1735. 79 indexed citations

Dahl, Edgar, Frank Wiesmann, Matthias Woenckhaus, et al.. (2007). Frequent loss of SFRP1 expression in multiple human solid tumours: association with aberrant promoter methylation in renal cell carcinoma. Oncogene. 26(38). 5680–5691. 114 indexed citations

Veeck, Jürgen, Dieter Niederacher, Han‐Xiang An, et al.. (2006). Aberrant methylation of the Wnt antagonist SFRP1 in breast cancer is associated with unfavourable prognosis. Oncogene. 25(24). 3479–3488. 213 indexed citations

Dahl, Edgar, Jürgen Veeck, Hong‐Mei An, et al.. (2005). [Epigenetic inactivation of the WNT antagonist SFRP1 in breast cancer].. PubMed. 89. 169–77. 7 indexed citations

Wiesmann, Frank, Manfred Zeidler, H. Bertagnolli, & P. Chieux. (1986). A neutron diffraction study of liquid formamide. Molecular Physics. 57(2). 275–285. 44 indexed citations

Kálmán, E., G. Pálinkás, Manfred Zeidler, et al.. (1983). The Molecular Structure and Hydrogen Bond Geometry in Liquid Formamide: Electron, Neutron, and X-Ray Diffraction Studies. Zeitschrift für Naturforschung A. 38(2). 231–236. 55 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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