Lisa Wiesmüller

7.8k citations
136 papers · 5.8k indexed · 1 hit paper · h-index 42
Topics
DNA Repair Mechanisms (88 papers)Cancer-related Molecular Pathways (46 papers)PARP inhibition in cancer therapy (23 papers)

In The Last Decade

Lisa Wiesmüller

130 papers receiving 5.7k citations

Hit Papers

The Ras-RasGAP Complex: Structural Basis for GTPase Activ...199720262006201619974008001.2k

Peers

Lisa Wiesmüller
Comparison fields: 5 of 120
  • Molecular Biology 4.6k
  • Oncology 2.4k
  • Cancer Research 824
  • Cell Biology 668
  • Genetics 487
Replace Andrei L. Gartel with:
Andrei L. Gartel United States
Devalingam Mahalingam United States
Steffan T. Nawrocki United States
Gen Sheng Wu United States
James J. Manfredi United States
Brendan D. Price United States
Jennifer S. Carew United States
Alex N. Bullock United Kingdom
Peter M. Chumakov Russia
Adly Yacoub United States
Lisa Wiesmüller relative to Andrei L. Gartel United States Andrei L. Gartel's profile →
Citations per field
00.5×1.5×2.3×
Andrei L. Gartel · 1×
Citations per year

Countries citing papers authored by Lisa Wiesmüller

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Wiesmüller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Wiesmüller

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Wiesmüller. A scholar is included among the top collaborators of Lisa Wiesmüller 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 Lisa Wiesmüller. Lisa Wiesmüller 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
#WorkIndexed citations
1 0
2 9
3 0
4 1
5 0
6 1
7 4
8 14
9 0
10 12
11 32
12 27
13 26
14 9
15 18
16
Acquisition of Relative Interstrand Crosslinker Resistance and PARP Inhibitor Sensitivity in Fanconi Anemia Head and Neck Cancers
2
17 133
18 8
19 145
20 43

About Lisa Wiesmüller

Lisa Wiesmüller is a scholar working on Oncology, Molecular Biology and Cancer Research, having authored 136 papers that have together received 5.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (88 papers), Cancer-related Molecular Pathways (46 papers) and PARP inhibition in cancer therapy (23 papers). The work is most often cited by research in Oncology (2.4k citations), Molecular Biology (4.6k citations) and Cancer Research (824 citations). Lisa Wiesmüller has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Alfred Wittinghofer, Klaus Scheffzek, Mohammad Reza Ahmadian, Alfred Lautwein, Wolfgang Kabsch, Frank Schmitz, Wolfgang Deppert, Susanne A. Gatz, Friedemann Janus and Frank Große. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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