Lisa Evers

5.0k citations
17 papers · 400 · h-index 9

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Glioma Diagnosis and Treatment

Papers in

    • Cancer Genomics and Diagnostics 10
    • Pancreatic and Hepatic Oncology Research 6
    • Cancer Cells and Metastasis 2

Lisa Evers

17 papers receiving 392 citations

Peers

Lisa Evers
Comparison fields: 5 of 60
  • Cancer Research 166
  • Genetics 68
  • Oncology 153
  • Reproductive Medicine 21
  • Pathology and Forensic Medicine 43
Replace Hua-Zhong Zhang with:
Hua-Zhong Zhang United States
Carlo Fusco Switzerland
Constanze Zeller United Kingdom
Carson Stephens Australia
Brett H. Simmons United States
Sara Zaghlul United States
Antonios Papanicolau‐Sengos United States
L. Karayan-Tapon France
Emma Arriola United Kingdom
Kaltin Ferguson Australia
Lisa Evers relative to Hua-Zhong Zhang United States Hua-Zhong Zhang's profile →
Citations per field
00.5×
Hua-Zhong Zhang · 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 201193
2 201384
3 201240
4 201733
5 201730
6 201424
7 201924
8 201321
9 201415
10 20127
11 20126
12 20146
13 20185
14 20135
15 20135
16 20181
17 20141

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 400 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Pancreatic and Hepatic Oncology Research (6 papers), Renal cell carcinoma treatment (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Microtubule and mitosis dynamics (2 papers), Cancer Cells and Metastasis (2 papers), European Monetary and Fiscal Policies (1 paper) and Fiscal Policy and Economic Growth (1 paper). The work is most often cited by research in Cancer Research (166 citations), Genetics (68 citations), Oncology (153 citations), Reproductive Medicine (21 citations) and Pathology and Forensic Medicine (43 citations). Lisa Evers has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Elizabeth Lenkiewicz, Michael T. Barrett, Tara Holley, Daniel D. Von Hoff, Christian Ruiz, Lukas Bubendorf, John D. Carpten, Ramesh K. Ramanathan, Jeffrey Kiefer and Daniel Stieber. Their work appears in journals such as PLoS ONE, Frontiers in Pharmacology, Clinical Cancer Research, Cancer Research and Molecular Oncology.

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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