Katelyn Paz

2.0k total citations
10 papers, 203 citations indexed

About

Katelyn Paz is a scholar working on Hematology, Immunology and Molecular Biology. According to data from OpenAlex, Katelyn Paz has authored 10 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 6 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Katelyn Paz's work include Hematopoietic Stem Cell Transplantation (6 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (4 papers). Katelyn Paz is often cited by papers focused on Hematopoietic Stem Cell Transplantation (6 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (4 papers). Katelyn Paz collaborates with scholars based in United States, Australia and United Kingdom. Katelyn Paz's co-authors include Bruce R. Blazar, Ryan Flynn, Jing Du, Govindarajan Thangavelu, Dominik Schneidawind, Omar Duramad, Jeanette Baker, Angela Panoskaltsis‐Mortari, Colby J. Feser and Robert S. Negrin and has published in prestigious journals such as Blood, International Journal of Molecular Sciences and JCI Insight.

In The Last Decade

Katelyn Paz

9 papers receiving 201 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Katelyn Paz United States	7	140	91	41	33	26	10	203
Lucy W. Kappel United States	5	243 1.7×	186 2.0×	48 1.2×	27 0.8×	15 0.6×	6	303
Megan Baker United States	5	101 0.7×	100 1.1×	81 2.0×	50 1.5×	58 2.2×	12	222
Ingeborg Steiert Germany	9	213 1.5×	40 0.4×	33 0.8×	28 0.8×	11 0.4×	13	296
Gisele Loth Brazil	7	66 0.5×	120 1.3×	66 1.6×	50 1.5×	9 0.3×	27	209
Yuhei Kamada Japan	8	87 0.6×	57 0.6×	55 1.3×	38 1.2×	6 0.2×	15	198
Roman Puliaev United States	11	264 1.9×	56 0.6×	41 1.0×	27 0.8×	8 0.3×	15	318
Austin P. Huffman United States	6	241 1.7×	72 0.8×	55 1.3×	191 5.8×	19 0.7×	14	334
Armin Rabsteyn Germany	6	110 0.8×	38 0.4×	50 1.2×	45 1.4×	8 0.3×	13	179
Jeremy Grubin United States	5	270 1.9×	188 2.1×	59 1.4×	88 2.7×	12 0.5×	5	350
Melody Cheong Australia	5	219 1.6×	173 1.9×	24 0.6×	35 1.1×	4 0.2×	6	270

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-authorship network of co-authors of Katelyn Paz

This figure shows the co-authorship network connecting the top 25 collaborators of Katelyn Paz. A scholar is included among the top collaborators of Katelyn Paz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katelyn Paz. Katelyn Paz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Monlish, Darlene, Kevin Beezhold, Pailin Chiaranunt, et al.. (2021). Deletion of AMPK minimizes graft-versus-host disease through an early impact on effector donor T cells. JCI Insight. 6(14). 5 indexed citations

Levy, Robert B., Stéphanie Duffort, Ryan Flynn, et al.. (2021). Analyses and Correlation of Pathologic and Ocular Cutaneous Changes in Murine Graft versus Host Disease. International Journal of Molecular Sciences. 23(1). 184–184. 6 indexed citations

Sinha, Ranjeet, Ryan Flynn, Katelyn Paz, et al.. (2019). Activated protein C ameliorates chronic graft-versus-host disease by PAR1-dependent biased cell signaling on T cells. Blood. 134(9). 776–781. 15 indexed citations

Chun, Nicholas, Katelyn Paz, Miguel Fribourg, et al.. (2018). C5aR1 regulates T follicular helper differentiation and chronic graft-versus-host disease bronchiolitis obliterans. JCI Insight. 3(24). 30 indexed citations

Wu, Yongxia, Steven Schutt, Katelyn Paz, et al.. (2018). MicroRNA-17-92 is required for T-cell and B-cell pathogenicity in chronic graft-versus-host disease in mice. Blood. 131(17). 1974–1986. 46 indexed citations

Radojčić, Vedran, Katelyn Paz, Jooho Chung, et al.. (2018). Notch signaling mediated by Delta-like ligands 1 and 4 controls the pathogenesis of chronic GVHD in mice. Blood. 132(20). 2188–2200. 24 indexed citations

Du, Jing, Ryan Flynn, Katelyn Paz, et al.. (2018). Murine chronic graft-versus-host disease proteome profiling discovers CCL15 as a novel biomarker in patients. Blood. 131(15). 1743–1754. 20 indexed citations

Du, Jing, Katelyn Paz, Govindarajan Thangavelu, et al.. (2017). Invariant natural killer T cells ameliorate murine chronic GVHD by expanding donor regulatory T cells. Blood. 129(23). 3121–3125. 56 indexed citations

Radojčić, Vedran, Jooho Chung, Jing Du, et al.. (2016). Notch Signaling Mediated By Dll1/4 Notch Ligands Controls the Pathogenesis of Both Multi-Organ System Non-Sclerodermatous and Sclerodermatous Chronic Graft-Versus-Host Disease. Blood. 128(22). 805–805.

10.

Blazar, Bruce R., Roddy S. O’Connor, Michael C. Milone, et al.. (2015). Role of PD-1/PD-L1 in Acute and Chronic Graft Versus Host Disease. Blood. 126(23). SCI–8. 1 indexed citations

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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