Silke Laßmann

4.1k citations
108 papers · 3.4k · h-index 35

Impact in

Papers in

    • Colorectal Cancer Treatments and Studies 8
    • HER2/EGFR in Cancer Research 5
    • Cancer Genomics and Diagnostics 17

Silke Laßmann

104 papers receiving 3.3k citations

Peers

Silke Laßmann
Comparison fields: 5 of 101
  • Oncology 834
  • Cancer Research 484
  • Pathology and Forensic Medicine 397
  • Health Informatics 42
  • Neurology 123
Replace Remco van Doorn with:
Remco van Doorn Netherlands
Bodour Salhia United States
Tracy L. Stockley Canada
Peter Vermeulen Belgium
Monique B. Nilsson United States
Johanna Sofia Margareta Mattsson Sweden
David F. Schaeffer Canada
Simone E. Muenst Switzerland
Viví Ann Flørenes Norway
Meredith S. Irwin Canada
Silke Laßmann relative to Remco van Doorn Netherlands Remco van Doorn's profile →
Citations per field
00.5×2×4×6×8.8×
Remco van Doorn · 1×
Citations per year

Countries citing papers authored by Silke Laßmann

Since Specialization
Citations

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

Fields of papers citing papers by Silke Laßmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Silke Laßmann, 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 Silke Laßmann Line = papers co-authored together Silke Laßmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006174
2 2004156
3 2006127
4
Alpha-folate receptor expression in epithelial ovarian carcinoma and non-neoplastic ovarian tissue.
2009120
5 2009103
6 2007101
7 201594
8 199992
9 200090
10 201987
11 202179
12 201877
13 201567
14 200760
15 200754
16 201453
17 202351
18 201349
19 202149
20 201247

About Silke Laßmann

Silke Laßmann is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Reproductive Medicine and Cell Biology, having authored 108 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (17 papers), Microtubule and mitosis dynamics (9 papers), Genetic factors in colorectal cancer (8 papers), Colorectal Cancer Treatments and Studies (8 papers), Ovarian cancer diagnosis and treatment (7 papers), Esophageal Cancer Research and Treatment (7 papers), Epigenetics and DNA Methylation (6 papers) and HER2/EGFR in Cancer Research (5 papers). The work is most often cited by research in Oncology (834 citations), Cancer Research (484 citations), Pathology and Forensic Medicine (397 citations), Health Informatics (42 citations) and Neurology (123 citations). Silke Laßmann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Martin Werner, Ulrich Theodor Hopt, Axel Karl Walch, Uta Jütting, Frank Makowiec, Iain Leslie Campbell, Annette Hasenburg, Heinz Höfler, Gerald Gitsch and Axel Pagenstecher. Their work appears in journals such as International Journal of Colorectal Disease, Journal of Molecular Medicine, British Journal of Cancer, Molecular Oncology and International Journal of Cancer.

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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