Moises J. Velez

3.2k citations
14 papers · 316 · h-index 7

Impact in

  • Oncology top 10%
    • Lung Cancer Research Studies
    • Cancer Immunotherapy and Biomarkers
    • Peptidase Inhibition and Analysis
    • Lung Cancer Treatments and Mutations
    • Lung Cancer Diagnosis and Treatment

Papers in

    • Lung Cancer Research Studies 5
    • Cancer Immunotherapy and Biomarkers 3
    • HER2/EGFR in Cancer Research 2
    • Chemokine receptors and signaling 1
    • Lung Cancer Treatments and Mutations 3

Moises J. Velez

13 papers receiving 315 citations

Peers

Moises J. Velez
Comparison fields: 5 of 48
  • Oncology 234
  • Pulmonary and Respiratory Medicine 114
  • Epidemiology 95
  • Cancer Research 30
  • Immunology 40
Replace Dian Ren with:
Dian Ren China
Zhong-Guo Zhou China
Yael Steinberg‐Silman Israel
Nancy Bailey United States
Sunao Ushijima Japan
Go Makimoto Japan
Amanda Goldrick Australia
Michihiro Ono Japan
Akira Okimura Japan
Moises J. Velez relative to Dian Ren China Dian Ren's profile →
Citations per field
00.5×1.5×2.4×
Dian Ren · 1×
Citations per year

Countries citing papers authored by Moises J. Velez

Since Specialization
Citations

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

Fields of papers citing papers by Moises J. Velez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2021106
2 201777
3 202260
4 201925
5 202412
6 202110
7 20188
8 20245
9 20225
10 20234
11 20232
12 20241
13 20201
14 20240

About Moises J. Velez

Moises J. Velez is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Epidemiology, Molecular Biology and Neurology, having authored 14 papers that have together received 316 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (5 papers), Lung Cancer Research Studies (5 papers), Neuroblastoma Research and Treatments (3 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Genomics and Diagnostics (2 papers), HER2/EGFR in Cancer Research (2 papers) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Oncology (234 citations), Pulmonary and Respiratory Medicine (114 citations), Epidemiology (95 citations), Cancer Research (30 citations) and Immunology (40 citations). Moises J. Velez has collaborated with scholars based in United States and Japan. Frequent co-authors include Valerie W. Rusch, Jamie E. Chaft, Matthew D. Hellmann, William D. Travis, Nitin Roper, Deborah Mulford, Nobuyuki Takahashi, Anish Thomas, Javed Khan and Christopher Trindade. Their work appears in journals such as Nature Communications, The Journal of Immunology, Endocrine Pathology, Journal of Thoracic Oncology and Histopathology.

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.

Explore authors with similar magnitude of impact