Daniel Velez

744 citations
12 papers · 189 · h-index 6

Impact in

    • Chemokine receptors and signaling
    • Polyomavirus and related diseases
    • Immunotherapy and Immune Responses
    • Immunodeficiency and Autoimmune Disorders
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation

Papers in

    • Chemokine receptors and signaling 5
    • RNA and protein synthesis mechanisms 1
    • Protein Degradation and Inhibitors 1

Daniel Velez

10 papers receiving 184 citations

Peers

Daniel Velez
Comparison fields: 5 of 43
  • Oncology 110
  • Immunology 84
  • Hematology 29
  • Immunology and Allergy 12
  • Genetics 10
Replace Asami Hanazawa with:
Asami Hanazawa Japan
Naomi Goldman United States
E. Gérard France
Heather Torrey United States
Tatsuya Morishima Japan
Soley Thordardottir Netherlands
Patricia Littel United States
Jennifer Segar United States
Joseph D. P. Willet United Kingdom
Thordis Hohnstein Germany
Daniel Velez relative to Asami Hanazawa Japan Asami Hanazawa's profile →
Citations per field
00.5×1.7×
Asami Hanazawa · 1×
Citations per year

Countries citing papers authored by Daniel Velez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Velez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201964
2 201729
3 201626
4 202325
5 201322
6 202010
7 20175
8 20244
9 20063
10 20191
11 20070
12 20070

About Daniel Velez

Daniel Velez is a scholar working on Oncology, Molecular Biology, Hematology, Genetics and Immunology, having authored 12 papers that have together received 189 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (5 papers), Cutaneous lymphoproliferative disorders research (2 papers), Platelet Disorders and Treatments (2 papers), RNA and protein synthesis mechanisms (1 paper), Genetic and rare skin diseases. (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Protein Degradation and Inhibitors (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Oncology (110 citations), Immunology (84 citations), Hematology (29 citations), Immunology and Allergy (12 citations) and Genetics (10 citations). Daniel Velez has collaborated with scholars based in United States, Spain and Malaysia. Frequent co-authors include Philip M. Murphy, David H. McDermott, Diana V. Pastrana, Christopher B. Buck, Qian Liu, Stefania Pittaluga, Pamela J. Gardner, Katherine R. Calvo, Hugh H. Trout and Elizabeth A. Blair. Their work appears in journals such as Journal of Clinical Immunology, Journal of Clinical Investigation, Journal Of Clinical Periodontology, Oncotarget and New England Journal of Medicine.

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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