Julia Wu

546 total citations
19 papers, 398 citations indexed

About

Julia Wu is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Julia Wu has authored 19 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Immunology and 5 papers in Cancer Research. Recurrent topics in Julia Wu's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (4 papers). Julia Wu is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (4 papers). Julia Wu collaborates with scholars based in United States, Japan and Germany. Julia Wu's co-authors include Pavan Reddy, Katherine Oravecz-Wilson, Yaping Sun, Corinne Rossi, Chen Liu, Tomomi Toubai, Nathan D. Mathewson, Cynthia Zajac, Richard C. McEachin and Thomas L. Saunders and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.

In The Last Decade

Julia Wu

19 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Wu United States 10 213 179 83 76 63 19 398
Clarissa J. Watts United Kingdom 6 120 0.6× 129 0.7× 58 0.7× 41 0.5× 39 0.6× 7 388
Yoshitaka Kikukawa Japan 8 169 0.8× 128 0.7× 104 1.3× 143 1.9× 51 0.8× 20 405
Tsadik Habtetsion United States 7 226 1.1× 110 0.6× 32 0.4× 132 1.7× 116 1.8× 8 410
Diederik van Bodegom United States 7 185 0.9× 57 0.3× 40 0.5× 101 1.3× 42 0.7× 10 360
Günther Bode Germany 7 234 1.1× 115 0.6× 48 0.6× 35 0.5× 76 1.2× 7 359
Devorah Olam Israel 11 214 1.0× 105 0.6× 62 0.7× 133 1.8× 94 1.5× 15 453
Surya Amarachintha United States 13 191 0.9× 68 0.4× 60 0.7× 59 0.8× 43 0.7× 26 358
Mya Steadman United States 5 212 1.0× 62 0.3× 66 0.8× 27 0.4× 122 1.9× 7 334
Jun Yuan China 8 176 0.8× 204 1.1× 33 0.4× 37 0.5× 74 1.2× 10 416

Countries citing papers authored by Julia Wu

Since Specialization
Citations

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

Fields of papers citing papers by Julia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Wu. A scholar is included among the top collaborators of Julia Wu 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 Julia Wu. Julia Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Peltier, Daniel, Molly Radosevich, Visweswaran Ravikumar, et al.. (2021). RNA-seq of human T cells after hematopoietic stem cell transplantation identifies Linc00402 as a regulator of T cell alloimmunity. Science Translational Medicine. 13(585). 8 indexed citations
2.
Khoriaty, Rami, Lu Li, Theodosia A. Kalfa, et al.. (2021). ER-to-Golgi transport and SEC23-dependent COPII vesicles regulate T cell alloimmunity. Journal of Clinical Investigation. 131(2). 10 indexed citations
3.
Sun, Yaping, Katherine Oravecz-Wilson, Richard C. McEachin, et al.. (2019). miR-142 controls metabolic reprogramming that regulates dendritic cell activation. Journal of Clinical Investigation. 129(5). 2029–2042. 43 indexed citations
4.
Toubai, Tomomi, Hiroya Tamaki, Daniel Peltier, et al.. (2018). Mitochondrial Deacetylase SIRT3 Plays an Important Role in Donor T Cell Responses after Experimental Allogeneic Hematopoietic Transplantation. The Journal of Immunology. 201(11). 3443–3455. 29 indexed citations
5.
Kim, Stephanie H., Rami Khoriaty, Rajesh M. Valanparambil, et al.. (2018). Targeting Sec23b in COPII Vesicles Regulates T Cell Immunity. Blood. 132(Supplement 1). 859–859. 1 indexed citations
6.
Toubai, Tomomi, Corinne Rossi, Katherine Oravecz-Wilson, et al.. (2017). Siglec-G represses DAMP-mediated effects on T cells. JCI Insight. 2(14). 39 indexed citations
7.
Wilson, David L., Isabel Meininger, Zack M. Strater, et al.. (2016). Synthesis and Evaluation of Macrocyclic Peptide Aldehydes as Potent and Selective Inhibitors of the 20S Proteasome. ACS Medicinal Chemistry Letters. 7(3). 250–255. 12 indexed citations
8.
Toubai, Tomomi, Corinne Rossi, Katherine Oravecz-Wilson, et al.. (2016). NLRP6 in Host Target Tissues Exacerbates Graft-Versus-Host-Disease. Biology of Blood and Marrow Transplantation. 22(3). S415–S416. 1 indexed citations
9.
Toubai, Tomomi, Guoqing Hou, Nathan D. Mathewson, et al.. (2015). Ikaros deficiency in host hematopoietic cells separates GVL from GVHD after experimental allogeneic hematopoietic cell transplantation. OncoImmunology. 4(7). e1016699–e1016699. 6 indexed citations
10.
Toubai, Tomomi, Corinne Rossi, Katherine Oravecz-Wilson, et al.. (2015). Donor T Cells Intrinsic Responses to Damps Regulated By Siglec-G-CD24 Axis Mitigate Gvhd but Maintain GVL in Experimental BMT Model. Blood. 126(23). 229–229. 1 indexed citations
11.
Sun, Yaping, Katherine Oravecz-Wilson, Nathan D. Mathewson, et al.. (2015). Mature T cell responses are controlled by microRNA-142. Journal of Clinical Investigation. 125(7). 2825–2840. 60 indexed citations
12.
Sun, Yaping, Ying Wang, Tomomi Toubai, et al.. (2015). BET bromodomain inhibition suppresses graft-versus-host disease after allogeneic bone marrow transplantation in mice. Blood. 125(17). 2724–2728. 39 indexed citations
13.
Toubai, Tomomi, Guoqing Hou, Nathan D. Mathewson, et al.. (2014). Siglec-G–CD24 axis controls the severity of graft-versus-host disease in mice. Blood. 123(22). 3512–3523. 76 indexed citations
14.
Mathewson, Nathan D., Tomomi Toubai, Yaping Sun, et al.. (2014). Targeting Sag in Donor T Cells As a Novel Strategy for Reducing Gvhd. Biology of Blood and Marrow Transplantation. 20(2). S54–S54. 1 indexed citations
15.
Mathewson, Nathan D., Anna V. Mathew, Katherine Oravecz-Wilson, et al.. (2014). Unbiased Metabolic Profiling Uncovers a Crucial Role for the Microbial Metabolite Butyrate in Modulating GI Epithelial Cell Damage from Gvhd. Blood. 124(21). 536–536. 4 indexed citations
16.
Mathewson, Nathan D., Anna V. Mathew, Katherine Oravecz-Wilson, et al.. (2014). Microbial metabolites modulate GI mucosal damage from graft versus host disease (GHVD). (MUC4P.850). The Journal of Immunology. 192(Supplement_1). 133.26–133.26. 1 indexed citations
17.
Parkhitko, Andrey A., Carmen Priolo, Jonathan L. Coloff, et al.. (2013). Autophagy-Dependent Metabolic Reprogramming Sensitizes TSC2-Deficient Cells to the Antimetabolite 6-Aminonicotinamide. Molecular Cancer Research. 12(1). 48–57. 50 indexed citations
18.
19.
Mountz, John D., et al.. (1999). Apoptosis and cell death in the endocrine system.. PubMed. 54. 235–68; discussion 269. 13 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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