Silke Laßmann

4.1k citations
87 papers · 2.7k indexed · h-index 31

Impact in

Papers in

    • Cancer-related Molecular Pathways 9
    • Colorectal Cancer Treatments and Studies 9
    • HER2/EGFR in Cancer Research 5
    • Cancer Genomics and Diagnostics 9

Silke Laßmann

86 papers receiving 2.6k citations

Peers

Silke Laßmann
Comparison fields: 5 of 104
  • Oncology 1.1k
  • Cancer Research 431
  • Pathology and Forensic Medicine 387
  • Immunology 453
  • Cell Biology 346
Replace Feng Gu with:
Feng Gu China
Johan Lennartsson Sweden
Daniela Biziato Italy
Delphine Loussouarn France
E M Rosen United States
Nina N. Nupponen Finland
Knut Engels Germany
Pierre de la Grange France
Assunta De Rienzo United States
José Cameselle‐Teijeiro Spain
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Citations per field
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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 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006169
2 2004151
3 2006124
4
Alpha-folate receptor expression in epithelial ovarian carcinoma and non-neoplastic ovarian tissue.
2009103
5 200799
6 200993
7 201587
8 199987
9 200086
10 201563
11 200761
12 200753
13 201453
14 201348
15 199743
16 201442
17 202342
18 201842
19 201242
20 201139

About Silke Laßmann

Silke Laßmann is a scholar working on Oncology, Cancer Research, Cell Biology, Pathology and Forensic Medicine and Genetics, having authored 87 papers that have together received 2.7k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (14 papers), Genetic factors in colorectal cancer (10 papers), Cancer Genomics and Diagnostics (9 papers), Cancer-related Molecular Pathways (9 papers), Colorectal Cancer Treatments and Studies (9 papers), Molecular Biology Techniques and Applications (7 papers), Lung Cancer Treatments and Mutations (6 papers) and HER2/EGFR in Cancer Research (5 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (431 citations), Pathology and Forensic Medicine (387 citations), Immunology (453 citations) and Cell Biology (346 citations). Silke Laßmann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Martin Werner, Ulrich T. Hopt, Axel Walch, Uta Jütting, Frank Makowiec, Heinz Höfler, Iain L. Campbell, Annette Hasenburg, G. Gitsch and Axel Pagenstecher. Their work appears in journals such as Journal of Molecular Medicine, Clinical Cancer Research, The Journal of Pathology, Oncotarget and British 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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