Evan Pisick

2.1k citations
35 papers · 1.7k · h-index 18

Impact in

Papers in

    • Protein Degradation and Inhibitors 4
    • PI3K/AKT/mTOR signaling in cancer 4
    • Lung Cancer Research Studies 4

Evan Pisick

30 papers receiving 1.7k citations

Peers

Evan Pisick
Comparison fields: 5 of 80
  • Immunology and Allergy 462
  • Hematology 609
  • Genetics 367
  • Cell Biology 272
  • Oncology 383
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Citations per year

Countries citing papers authored by Evan Pisick

Since Specialization
Citations

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

Fields of papers citing papers by Evan Pisick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995246
2
The proto-oncogene product p120CBL and the adaptor proteins CRKL and c-CRK link c-ABL, p190BCR/ABL and p210BCR/ABL to the phosphatidylinositol-3' kinase pathway.
1996226
3 1997147
4 1996131
5
Increased tyrosine phosphorylation of focal adhesion proteins in myeloid cell lines expressing p210BCR/ABL.
1995131
6 1995113
7 1996106
8 1997101
9 199978
10 200177
11
Role of serum tumor markers CA 125 and CEA in non-small cell lung cancer.
200153
12 200051
13
p210BCR/ABL induces formation of complexes containing focal adhesion proteins and the protooncogene product p120c-Cbl.
199647
14 200439
15 199737
16 200031
17 202322
18
Recent advances in the molecular biology, diagnosis and novel therapies for various small blue cell tumors.
200318
19 202313
20 200513

About Evan Pisick

Evan Pisick is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Hematology and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Lung Cancer Treatments and Mutations (5 papers), Protein Degradation and Inhibitors (4 papers), Lung Cancer Research Studies (4 papers), Cell Adhesion Molecules Research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). The work is most often cited by research in Immunology and Allergy (462 citations), Hematology (609 citations), Genetics (367 citations), Cell Biology (272 citations) and Oncology (383 citations). Evan Pisick has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include Ravi Salgia, Jian‐Liang Li, James D. Griffin, Martin Sattler, Lan Bo Chen, N. Uemura, Beatrice Brunkhorst, Su Hao Lo, Kanteti V. Prasad and Arthur T. Skarin. Their work appears in journals such as Journal of Clinical Oncology, Journal of Biological Chemistry, Journal of Clinical Medicine, JCO Precision Oncology and Med.

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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