Katelyn Paz

2.1k citations
10 papers · 206 · h-index 7

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Complement system in diseases
    • Immunotherapy and Immune Responses

Papers in

    • Hematopoietic Stem Cell Transplantation 6
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 1

Katelyn Paz

9 papers receiving 205 citations

Peers

Katelyn Paz
Comparison fields: 5 of 42
  • Hematology 85
  • Immunology 132
  • Transplantation 8
  • Cancer Research 22
  • Genetics 13
Replace Roman Puliaev with:
Roman Puliaev United States
Uttam K. Rao United States
Ingeborg Steiert Germany
Joy Ho Australia
Gisele Loth Brazil
Zachariah A. McIver United States
Lucy W. Kappel United States
Déborah Desmier France
Vincent Leymarie France
Walter E. Aulitzky Germany
Katelyn Paz relative to Roman Puliaev United States Roman Puliaev's profile →
Citations per field
00.5×6.8×
Roman Puliaev · 1×
Citations per year

Countries citing papers authored by Katelyn Paz

Since Specialization
Citations

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

Fields of papers citing papers by Katelyn Paz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201755
2 201846
3 201831
4 201825
5 201820
6 201915
7 20217
8 20216
9 20151
10 20160

About Katelyn Paz

Katelyn Paz is a scholar working on Hematology, Immunology, Molecular Biology, Oncology and Surgery, having authored 10 papers that have together received 206 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Adolescent and Pediatric Healthcare (1 paper), Immunotherapy and Immune Responses (1 paper), Adenosine and Purinergic Signaling (1 paper), Chemokine receptors and signaling (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Hematology (85 citations), Immunology (132 citations), Transplantation (8 citations), Cancer Research (22 citations) and Genetics (13 citations). Katelyn Paz has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Bruce R. Blazar, Ryan Flynn, Jing Du, Angela Panoskaltsis‐Mortari, Colby J. Feser, Robert S. Negrin, Omar Duramad, Govindarajan Thangavelu, Jeanette Baker and Dominik Schneidawind. Their work appears in journals such as Blood, JCI Insight and International Journal of Molecular Sciences.

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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