Mark Basik

10.2k citations
142 papers · 7.2k indexed · 4 hit papers · h-index 41

Mark Basik

135 papers receiving 7.1k citations

Hit Papers

PDK1-Dependent Metabolic Reprogramming Dictates Me...43720072026201320192505007501000

Peers

Mark Basik
Comparison fields: 5 of 137
  • Cancer Research 2.9k
  • Oncology 2.8k
  • Pathology and Forensic Medicine 1.3k
  • Molecular Biology 3.5k
  • Immunology 774
Replace Ryan B. Corcoran with:
Ryan B. Corcoran United States
Daniele Generali Italy
Louis Vermeulen Netherlands
Hui‐Wen Lo United States
Peter S. Hammerman United States
Anthony N. Karnezis United States
Vladimir Lazar France
Marcella Mottolese Italy
Shikha Bose United States
Naoko Takebe United States
Mark Basik relative to Ryan B. Corcoran United States Ryan B. Corcoran's profile →
Citations per field
00.5×1.5×1.8×
Ryan B. Corcoran · 1×
Citations per year

Countries citing papers authored by Mark Basik

Since Specialization
Citations

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

Fields of papers citing papers by Mark Basik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20240
3 20241
4 20243
5 202341
6 20233
7 202210
8 202110
9 201934
10 201913
11 201948
12 20183
13 201740
14 201541
15 201293
16 201239
17 201067
18 200951
19 2009296
20
Expression of epiregulin and amphiregulin and K-RAS mutation status predict disease control in metastatic colorectal cancer patients treated with cetuximab (Erbitux ®)
20073

About Mark Basik

Mark Basik is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Immunology and Allergy and Genetics, having authored 142 papers that have together received 7.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (40 papers), Breast Cancer Treatment Studies (34 papers), Breast Lesions and Carcinomas (16 papers), HER2/EGFR in Cancer Research (16 papers), Genetic factors in colorectal cancer (14 papers), BRCA gene mutations in cancer (10 papers), Cancer Cells and Metastasis (10 papers) and Advanced Proteomics Techniques and Applications (9 papers). The work is most often cited by research in Cancer Research (2.9k citations), Oncology (2.8k citations), Pathology and Forensic Medicine (1.3k citations), Molecular Biology (3.5k citations) and Immunology (774 citations). Mark Basik has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Marguerite Buchanan, Adriana Aguilar‐Mahecha, Abdel Hosein, Jeffrey L. Wrana, Valbona Luga, Elaine Chiu, Alicia Viloria‐Petit, Liang Zhang, Abiodun A. Ogunjimi and Saima Hassan. Their work appears in journals such as Journal of Clinical Oncology, Annals of Surgical Oncology, Cancer Research, European Journal of Surgical Oncology and Breast Cancer Research and Treatment.

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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2026