Michael J. Wick

3.7k citations
67 papers · 2.4k · h-index 25

Impact in

  • Oncology top 5%
    • Ear and Head Tumors
    • Cancer Cells and Metastasis
    • Cancer Genomics and Diagnostics

Papers in

    • PI3K/AKT/mTOR signaling in cancer 12
    • Protein Kinase Regulation and GTPase Signaling 7
    • HER2/EGFR in Cancer Research 5
    • Cancer Treatment and Pharmacology 4

Michael J. Wick

63 papers receiving 2.4k citations

Peers

Michael J. Wick
Comparison fields: 5 of 137
  • Oncology 915
  • Cancer Research 325
  • Oral Surgery 138
  • Molecular Biology 1.2k
  • Pathology and Forensic Medicine 246
Replace Håvard E. Danielsen with:
Håvard E. Danielsen Norway
Curtis R. Pickering United States
Melanie Trivett Australia
Richard W. Tothill Australia
Farbod Darvishian United States
Adriano Piris United States
Stephen Yip Canada
Matthias Kappler Germany
Magali Lacroix‐Triki France
Gregory Bloom United States
Michael J. Wick relative to Håvard E. Danielsen Norway Håvard E. Danielsen's profile →
Citations per field
00.5×1.5×
Håvard E. Danielsen · 1×
Citations per year

Countries citing papers authored by Michael J. Wick

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Wick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Wick. 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 Michael J. Wick. The network helps show where Michael J. Wick may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012352
2 2011303
3 2016224
4 2017168
5 2000111
6 2015103
7 200086
8 201771
9 200367
10 201262
11 201161
12 201858
13 200357
14 201853
15 200148
16 198146
17 200844
18 202043
19 201738
20 200234

About Michael J. Wick

Michael J. Wick is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 67 papers that have together received 2.4k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (12 papers), Salivary Gland Tumors Diagnosis and Treatment (9 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Cancer Genomics and Diagnostics (6 papers), HER2/EGFR in Cancer Research (5 papers), Oral and Maxillofacial Pathology (5 papers), Cancer Treatment and Pharmacology (4 papers) and Cancer Research and Treatments (4 papers). The work is most often cited by research in Oncology (915 citations), Cancer Research (325 citations), Oral Surgery (138 citations), Molecular Biology (1.2k citations) and Pathology and Forensic Medicine (246 citations). Michael J. Wick has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Lily Dong, David Sidransky, Feng Liu, Manuel Hidalgo, Elizabeth Bruckheimer, Fresnida J. Ramos, Amita Patnaik, James Martell, Ignacio Garrido‐Laguna and Belén Rubio‐Viqueira. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Clinical Cancer Research, Journal of Biological Chemistry and Journal of Medicinal Chemistry.

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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