Lisa Evers

4.9k citations
17 papers · 388 · h-index 9

Impact in

Papers in

    • Cancer Genomics and Diagnostics 12
    • Pancreatic and Hepatic Oncology Research 7
    • Cancer Cells and Metastasis 2

Lisa Evers

17 papers receiving 381 citations

Peers

Lisa Evers
Comparison fields: 5 of 60
  • Cancer Research 201
  • Genetics 69
  • Oncology 166
  • Pulmonary and Respiratory Medicine 95
  • Reproductive Medicine 21
Replace Sameer A. Greenall with:
Sameer A. Greenall Australia
María Quindós Spain
Patricia Martin Switzerland
Sumi Yun South Korea
Carson Stephens Australia
L. Karayan-Tapon France
Sara Zaghlul United States
Neal Fischbach United States
Antonios Papanicolau‐Sengos United States
Hendrika M. Oosterkamp Netherlands
Lisa Evers relative to Sameer A. Greenall Australia Sameer A. Greenall's profile →
Citations per field
00.5×1.5×2.3×
Sameer A. Greenall · 1×
Citations per year

Countries citing papers authored by Lisa Evers

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Evers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201190
2 201381
3 201238
4 201733
5 201729
6 201424
7 201923
8 201320
9 201415
10 20127
11 20146
12 20126
13 20135
14 20185
15 20134
16 20141
17 20181

About Lisa Evers

Lisa Evers is a scholar working on Cancer Research, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Cell Biology, having authored 17 papers that have together received 388 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (12 papers), Pancreatic and Hepatic Oncology Research (7 papers), Renal cell carcinoma treatment (4 papers), Cancer Cells and Metastasis (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Microtubule and mitosis dynamics (2 papers), Single-cell and spatial transcriptomics (1 paper) and German Economic Analysis & Policies (1 paper). The work is most often cited by research in Cancer Research (201 citations), Genetics (69 citations), Oncology (166 citations), Pulmonary and Respiratory Medicine (95 citations) and Reproductive Medicine (21 citations). Lisa Evers has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Michael T. Barrett, Elizabeth Lenkiewicz, Tara Holley, Daniel D. Von Hoff, Lukas Bubendorf, Christian Ruiz, John D. Carpten, Ramesh K. Ramanathan, Jeffrey Kiefer and Nicolaas H. C. Brons. Their work appears in journals such as PLoS ONE, Cancer Research, Clinical Cancer Research, Molecular Oncology 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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