Katharine C. Hsu

9.0k total citations · 1 hit paper
115 papers, 5.9k citations indexed

About

Katharine C. Hsu is a scholar working on Immunology, Hematology and Oncology. According to data from OpenAlex, Katharine C. Hsu has authored 115 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Immunology, 59 papers in Hematology and 14 papers in Oncology. Recurrent topics in Katharine C. Hsu's work include Immune Cell Function and Interaction (82 papers), T-cell and B-cell Immunology (63 papers) and Hematopoietic Stem Cell Transplantation (55 papers). Katharine C. Hsu is often cited by papers focused on Immune Cell Function and Interaction (82 papers), T-cell and B-cell Immunology (63 papers) and Hematopoietic Stem Cell Transplantation (55 papers). Katharine C. Hsu collaborates with scholars based in United States, Germany and United Kingdom. Katharine C. Hsu's co-authors include Bo Dupont, Jeanette E. Boudreau, Richard J. O’Reilly, Daniel E. Geraghty, Jean-Benoît Le Luduec, Glenn Heller, Joseph H. Chewning, Annamalai Selvakumar, Stephen R. Spellman and Jeffrey M. Venstrom and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Katharine C. Hsu

109 papers receiving 5.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Prognostic Mutations in Myelodysplastic Syndrome after Stem-Cell Transplantation

2017 473 citations Tao Wang, Michael Haagenson et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katharine C. Hsu United States	39	4.6k	2.3k	1.3k	490	423	115	5.9k
Katharina Fleischhauer Italy	36	3.9k 0.9×	2.1k 0.9×	1.3k 1.0×	991 2.0×	423 1.0×	151	5.9k
Marusca Capanni Italy	18	4.5k 1.0×	2.7k 1.2×	1.9k 1.4×	360 0.7×	409 1.0×	23	5.3k
Alice Bertaina Italy	35	1.8k 0.4×	1.5k 0.6×	996 0.8×	628 1.3×	399 0.9×	141	3.6k
Loredana Ruggeri Italy	35	7.5k 1.6×	5.3k 2.3×	3.1k 2.4×	552 1.1×	642 1.5×	89	9.3k
Rizwan Romee United States	26	2.6k 0.6×	1.2k 0.5×	1.8k 1.3×	392 0.8×	311 0.7×	135	3.7k
Naokuni Uike Japan	37	2.5k 0.5×	772 0.3×	1.8k 1.4×	743 1.5×	255 0.6×	151	5.1k
Nancy F. Hensel United States	31	2.2k 0.5×	2.1k 0.9×	1.3k 1.0×	643 1.3×	478 1.1×	79	3.9k
Ulrike Koehl Germany	45	3.0k 0.7×	1.1k 0.5×	2.9k 2.2×	1.3k 2.6×	761 1.8×	155	5.6k
Koji Nagafuji Japan	33	1.2k 0.3×	1.6k 0.7×	1.4k 1.1×	697 1.4×	780 1.8×	181	4.0k
Amin Rahemtulla United Kingdom	39	1.9k 0.4×	1.9k 0.8×	1.9k 1.5×	1.5k 3.0×	356 0.8×	96	5.0k

Countries citing papers authored by Katharine C. Hsu

Since Specialization

Citations

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

Fields of papers citing papers by Katharine C. Hsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katharine C. Hsu. 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 Katharine C. Hsu. The network helps show where Katharine C. Hsu may publish in the future.

Co-authorship network of co-authors of Katharine C. Hsu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Santosa, Endi K., I. J. Johnson, Liang Deng, et al.. (2026). Stepwise epigenetic signal integration drives adaptive programming of cytotoxic lymphocytes. Immunity. 59(2). 339–353.e7.

Sheppard, Sam, Katja Srpan, Rebecca B. Delconte, et al.. (2024). Fatty acid oxidation fuels natural killer cell responses against infection and cancer. Proceedings of the National Academy of Sciences. 121(11). e2319254121–e2319254121. 30 indexed citations

Ceglia, Nicholas, Jean-Benoît Le Luduec, Andrew McPherson, et al.. (2023). Immune profiling after allogeneic hematopoietic cell transplantation in pediatric acute myeloid leukemia. Blood Advances. 7(17). 5069–5081. 5 indexed citations

Ploeg, Kattria van der, Rosa Sottile, Brian C. Shaffer, et al.. (2023). Emergence of human CMV-induced NKG2C+ NK cells is associated with CD8+ T-cell recovery after allogeneic HCT. Blood Advances. 7(19). 5784–5798. 5 indexed citations

Sottile, Rosa, M. Kazim Panjwani, Colleen M. Lau, et al.. (2021). Human cytomegalovirus expands a CD8 ⁺ T cell population with loss of BCL11B expression and gain of NK cell identity. Science Immunology. 6(63). eabe6968–eabe6968. 36 indexed citations

Wu, Zeguang, Colleen M. Lau, Rosa Sottile, et al.. (2021). Human Cytomegalovirus Infection Promotes Expansion of a Functionally Superior Cytoplasmic CD3+ NK Cell Subset with a Bcl11b-Regulated T Cell Signature. The Journal of Immunology. 207(10). 2534–2544. 7 indexed citations

Wiedemann, Gabriela M., Endi K. Santosa, Simon Grassmann, et al.. (2021). Deconvoluting global cytokine signaling networks in natural killer cells. Nature Immunology. 22(5). 627–638. 42 indexed citations

Wu, Zeguang, Soohyung Park, Colleen M. Lau, et al.. (2021). Dynamic variability in SHP-1 abundance determines natural killer cell responsiveness. Science Signaling. 14(708). eabe5380–eabe5380. 18 indexed citations

Petersdorf, Effie W., Philip A. Stevenson, Mats Bengtsson, et al.. (2020). HLA-B Leader and Survivorship after HLA-Mismatched Unrelated Donor Transplantation. Blood. 136(3). 362–369. 39 indexed citations

10.

Modak, Shakeel, Jean-Benoît Le Luduec, Irene Y. Cheung, et al.. (2018). Adoptive immunotherapy with haploidentical natural killer cells and Anti-GD2 monoclonal antibody m3F8 for resistant neuroblastoma: Results of a phase I study. OncoImmunology. 7(8). e1461305–e1461305. 70 indexed citations

11.

Spitzer, Barbara, Ann A. Jakubowski, Esperanza B. Papadopoulos, et al.. (2017). A Chemotherapy-Only Regimen of Busulfan, Melphalan, and Fludarabine, and Rabbit Antithymocyte Globulin Followed by Allogeneic T-Cell Depleted Hematopoietic Stem Cell Transplantations for the Treatment of Myeloid Malignancies. Biology of Blood and Marrow Transplantation. 23(12). 2088–2095. 8 indexed citations

12.

Curran, Shane A., Justin A. Shyer, Sneh Sharma, et al.. (2016). Human Dendritic Cells Mitigate NK-Cell Dysfunction Mediated by Nonselective JAK1/2 Blockade. Cancer Immunology Research. 5(1). 52–60. 25 indexed citations

13.

Du, Juan, Sandra López‐Vergès, Brandelyn N. Pitcher, et al.. (2014). CALGB 150905 (Alliance): Rituximab Broadens the Antilymphoma Response by Activating Unlicensed NK Cells. Cancer Immunology Research. 2(9). 878–889. 44 indexed citations

14.

Curran, Shane A., Emanuela Romano, Michael G. Kennedy, Katharine C. Hsu, & James W. Young. (2014). Phenotypic and Functional Activation of Hyporesponsive KIRnegNKG2Aneg Human NK-Cell Precursors Requires IL12p70 Provided by Poly(I:C)-Matured Monocyte-Derived Dendritic Cells. Cancer Immunology Research. 2(10). 1000–1010. 5 indexed citations

15.

Sobecks, Ronald, Meighan M. Gallagher, Medhat Askar, et al.. (2013). Influence Of Killer Immunoglobulin-Like Receptor (KIR) and HLA Genotypes On Outcomes After Reduced-Intensity Conditioning Allogeneic Hematopoietic Stem Cell Transplantation For Patients With AML and MDS: A Report From The Center For International Blood and Marrow Transplant Research Immunobiology Working Committee. Blood. 122(21). 159–159.

16.

Jenq, Robert R., Jeffrey L. Goldberg, Andrew S. Wilton, et al.. (2010). Second-line age-adjusted International Prognostic Index in patients with advanced non-Hodgkin lymphoma after T-cell depleted allogeneic hematopoietic SCT. Bone Marrow Transplantation. 45(9). 1408–1416. 17 indexed citations

17.

Castro‐Malaspina, Hugo, Esperanza B. Papadopoulos, Farid Boulad, et al.. (2008). Transplantation in Remission Improves the Disease-Free Survival of Patients with Advanced Myelodysplastic Syndromes Treated with Myeloablative T Cell-Depleted Stem Cell Transplants from HLA-Identical Siblings. Biology of Blood and Marrow Transplantation. 14(4). 458–468. 47 indexed citations

18.

Yu, Jia, et al.. (2007). Hierarchy of the human natural killer cell response is determined by class and quantity of inhibitory receptors for self-HLA-B and HLA-C ligands (Journal of Immunology (2007) 179 (5977-5989)). The Journal of Immunology. 179(12). 8 indexed citations

19.

Yu, Junli, Glenn Heller, Joseph H. Chewning, et al.. (2007). Hierarchy of the Human Natural Killer Cell Response Is Determined by Class and Quantity of Inhibitory Receptors for Self-HLA-B and HLA-C Ligands. The Journal of Immunology. 179(9). 5977–5989. 156 indexed citations

20.

Hsu, Katharine C., Xiaorong Liu, Annamalai Selvakumar, et al.. (2002). Killer Ig-Like Receptor Haplotype Analysis by Gene Content: Evidence for Genomic Diversity with a Minimum of Six Basic Framework Haplotypes, Each with Multiple Subsets. The Journal of Immunology. 169(9). 5118–5129. 335 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.

Explore authors with similar magnitude of impact