Janet Staats

725 total citations
18 papers, 480 citations indexed

About

Janet Staats is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Janet Staats has authored 18 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 8 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Janet Staats's work include Single-cell and spatial transcriptomics (8 papers), T-cell and B-cell Immunology (8 papers) and Immune Cell Function and Interaction (8 papers). Janet Staats is often cited by papers focused on Single-cell and spatial transcriptomics (8 papers), T-cell and B-cell Immunology (8 papers) and Immune Cell Function and Interaction (8 papers). Janet Staats collaborates with scholars based in United States, Germany and Netherlands. Janet Staats's co-authors include Kent J. Weinhold, Cedrik M. Britten, Sjoerd H. van der Burg, Cécile Gouttefangeas, Theresa L. Whiteside, Hans J. P. M. Koenen, Awen Gallimore, Alessandra Battaglia, Marij J.P. Welters and Kjetil Taskén and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and Frontiers in Immunology.

In The Last Decade

Janet Staats

18 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janet Staats United States 11 276 157 116 73 40 18 480
Mélanie Durand France 9 522 1.9× 132 0.8× 197 1.7× 38 0.5× 23 0.6× 10 759
Christoph U. Brand Switzerland 13 335 1.2× 289 1.8× 145 1.3× 144 2.0× 52 1.3× 24 736
Amelia Clark United States 9 250 0.9× 138 0.9× 111 1.0× 166 2.3× 30 0.8× 15 496
Elena Blanco Spain 11 276 1.0× 42 0.3× 102 0.9× 56 0.8× 48 1.2× 16 457
Etienne Foucher France 10 364 1.3× 227 1.4× 82 0.7× 67 0.9× 34 0.8× 18 591
Te-Chia Wu United States 7 297 1.1× 165 1.1× 144 1.2× 36 0.5× 28 0.7× 14 532
Daniel J. Wikenheiser United States 6 380 1.4× 105 0.7× 109 0.9× 47 0.6× 15 0.4× 9 514
Ryan J. Martinez United States 14 597 2.2× 151 1.0× 143 1.2× 46 0.6× 33 0.8× 27 780
V. Granger United Kingdom 11 162 0.6× 67 0.4× 136 1.2× 51 0.7× 29 0.7× 15 467
Mechthild Lütge Switzerland 12 325 1.2× 119 0.8× 140 1.2× 19 0.3× 35 0.9× 21 475

Countries citing papers authored by Janet Staats

Since Specialization
Citations

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

Fields of papers citing papers by Janet Staats

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janet Staats

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

All Works

18 of 18 papers shown
1.
Zaffiri, Lorenzo, Janet Staats, Scott M. Palmer, et al.. (2023). Evaluation of host cellular responses to Epstein–Barr virus (EBV) in adult lung transplant patients with EBV‐associated diseases. Journal of Medical Virology. 95(4). e28724–e28724. 1 indexed citations
2.
Brown, Landon C., Susan Halabi, Jason A. Somarelli, et al.. (2022). A phase 2 trial of avelumab in men with aggressive-variant or neuroendocrine prostate cancer. Prostate Cancer and Prostatic Diseases. 25(4). 762–769. 26 indexed citations
3.
Lusk, Jay B., Quintin J. Quiñones, Janet Staats, et al.. (2022). Coupling Hematoma Evacuation with Immune Profiling for Analysis of Neuroinflammation After Primary Intracerebral Hemorrhage: A Pilot Study. World Neurosurgery. 161. 162–168. 2 indexed citations
4.
Sitlinger, Andrea, Erwin Garcia, Tiffany M. Stewart, et al.. (2021). Physiological Fitness and the Pathophysiology of Chronic Lymphocytic Leukemia (CLL). Cells. 10(5). 1165–1165. 6 indexed citations
5.
White, S. M., John Quinn, Janet Staats, et al.. (2021). FlowKit: A Python Toolkit for Integrated Manual and Automated Cytometry Analysis Workflows. Frontiers in Immunology. 12. 768541–768541. 20 indexed citations
6.
Yi, John S., Janet Staats, Pearl Zakroysky, et al.. (2019). Establishment of normative ranges of the healthy human immune system with comprehensive polychromatic flow cytometry profiling. PLoS ONE. 14(12). e0225512–e0225512. 22 indexed citations
7.
Staats, Janet. (2019). Immunophenotyping of Human Regulatory T Cells. Methods in molecular biology. 2032. 141–177. 7 indexed citations
8.
Staats, Janet, et al.. (2019). Guidelines for Gating Flow Cytometry Data for Immunological Assays. Methods in molecular biology. 2032. 81–104. 20 indexed citations
9.
Berger, Miles, David M. Murdoch, Janet Staats, et al.. (2019). Flow Cytometry Characterization of Cerebrospinal Fluid Monocytes in Patients With Postoperative Cognitive Dysfunction: A Pilot Study. Anesthesia & Analgesia. 129(5). e150–e154. 24 indexed citations
10.
Weinhold, Kent J., Jack F. Bukowski, Todd V. Brennan, et al.. (2018). Reversibility of peripheral blood leukocyte phenotypic and functional changes after exposure to and withdrawal from tofacitinib, a Janus kinase inhibitor, in healthy volunteers. Clinical Immunology. 191. 10–20. 26 indexed citations
11.
Santegoets, Saskia J., Eveline M. Dijkgraaf, Alessandra Battaglia, et al.. (2015). Monitoring regulatory T cells in clinical samples: consensus on an essential marker set and gating strategy for regulatory T cell analysis by flow cytometry. Cancer Immunology Immunotherapy. 64(10). 1271–1286. 157 indexed citations
12.
Nair, Smita K., Gabriel De Leon, David Boczkowski, et al.. (2014). Recognition and Killing of Autologous, Primary Glioblastoma Tumor Cells by Human Cytomegalovirus pp65-Specific Cytotoxic T Cells. Clinical Cancer Research. 20(10). 2684–2694. 74 indexed citations
13.
Richards, Adam, Janet Staats, Katherine McKinnon, et al.. (2014). Setting objective thresholds for rare event detection in flow cytometry. Journal of Immunological Methods. 409. 54–61. 9 indexed citations
14.
Staats, Janet, Ana M. Sánchez, Wes Rountree, et al.. (2014). Toward development of a comprehensive external quality assurance program for polyfunctional intracellular cytokine staining assays. Journal of Immunological Methods. 409. 44–53. 12 indexed citations
15.
White, S. M., Marij J.P. Welters, Nicole Bidmon, et al.. (2014). Managing Multi-center Flow Cytometry Data for Immune Monitoring. Cancer Informatics. 13s7(Suppl 7). CIN.S16346–CIN.S16346. 7 indexed citations
16.
McNeil, Lisa K., Leah Price, Cedrik M. Britten, et al.. (2013). A harmonized approach to intracellular cytokine staining gating: Results from an international multiconsortia proficiency panel conducted by the Cancer Immunotherapy Consortium (CIC/CRI). Cytometry Part A. 83A(8). 728–738. 42 indexed citations
17.
Murdoch, David M., Janet Staats, & Kent J. Weinhold. (2012). OMIP‐006: Phenotypic subset analysis of human T regulatory cells via polychromatic flow cytometry. Cytometry Part A. 81A(4). 281–283. 17 indexed citations
18.
Chan, Cliburn, Lin Lin, Jacob Frelinger, et al.. (2010). Optimization of a highly standardized carboxyfluorescein succinimidyl ester flow cytometry panel and gating strategy design using discriminative information measure evaluation. Cytometry Part A. 77A(12). 1126–1136. 8 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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