Kevin Nee

1.8k total citations · 1 hit paper
11 papers, 862 citations indexed

About

Kevin Nee is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Kevin Nee has authored 11 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Genetics. Recurrent topics in Kevin Nee's work include Epigenetics and DNA Methylation (5 papers), Single-cell and spatial transcriptomics (2 papers) and Immune cells in cancer (2 papers). Kevin Nee is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Single-cell and spatial transcriptomics (2 papers) and Immune cells in cancer (2 papers). Kevin Nee collaborates with scholars based in United States, Switzerland and France. Kevin Nee's co-authors include Kai Kessenbrock, Quy Nguyen, Nicholas Pervolarakis, Amander T. Clark, Steven E. Jacobsen, Katrina Evans, Jan A. Rath, Hamad Alshetaiwi, Grace A. Hernandez and Dennis Ma and has published in prestigious journals such as Nature Communications, The EMBO Journal and The Journal of Immunology.

In The Last Decade

Kevin Nee

11 papers receiving 854 citations

Hit Papers

Defining the emergence of myeloid-derived suppressor cell... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Nee United States 8 569 298 163 105 66 11 862
Gang Xiao United States 12 227 0.4× 270 0.9× 176 1.1× 41 0.4× 29 0.4× 33 557
Fanny Polesso United States 9 469 0.8× 286 1.0× 273 1.7× 72 0.7× 25 0.4× 17 855
Aliaksandra Radzisheuskaya United Kingdom 15 1.3k 2.2× 121 0.4× 115 0.7× 121 1.2× 54 0.8× 20 1.4k
Deepak Kumar Jha United States 13 706 1.2× 111 0.4× 95 0.6× 50 0.5× 31 0.5× 18 885
Hai‐Qiang Dai United States 8 630 1.1× 136 0.5× 41 0.3× 89 0.8× 56 0.8× 12 737
Kathleen L. Pfaff United States 12 686 1.2× 73 0.2× 288 1.8× 68 0.6× 46 0.7× 27 956
Hiroki Ura Japan 12 849 1.5× 55 0.2× 86 0.5× 160 1.5× 51 0.8× 40 989
Rita Das United States 12 1.2k 2.1× 207 0.7× 228 1.4× 39 0.4× 41 0.6× 25 1.5k
Maike de la Roche United Kingdom 11 443 0.8× 311 1.0× 129 0.8× 149 1.4× 10 0.2× 15 792
Luísa de Andrés-Aguayo Spain 12 647 1.1× 199 0.7× 91 0.6× 54 0.5× 11 0.2× 17 833

Countries citing papers authored by Kevin Nee

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Nee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Nee

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

All Works

11 of 11 papers shown
1.
Hachey, Stephanie J., et al.. (2024). Targeting tumor–stromal interactions in triple-negative breast cancer using a human vascularized micro-tumor model. Breast Cancer Research. 26(1). 5–5. 11 indexed citations
2.
Nee, Kevin, et al.. (2024). Defining Colorectal Cancer Cells on a Single Cell Level Reveals LGR5+ Proliferative Stem Cell Expression in Peritoneal Metastasis. Annals of Surgical Oncology. 31(10). 6369–6372. 1 indexed citations
3.
Alshetaiwi, Hamad, Nicholas Pervolarakis, Laura L. McIntyre, et al.. (2020). Defining the emergence of myeloid-derived suppressor cells in breast cancer using single-cell transcriptomics. Science Immunology. 5(44). 322 indexed citations breakdown →
4.
Alshetaiwi, Hamad, Nicholas Pervolarakis, Laura L. McIntyre, et al.. (2019). Single cell RNA sequencing reveals distinct gene expression signatures of myeloidderived suppressor cells in breast cancer. The Journal of Immunology. 202(1_Supplement). 135.4–135.4. 1 indexed citations
5.
Nguyen, Quy, Nicholas Pervolarakis, Kevin Nee, & Kai Kessenbrock. (2018). Experimental Considerations for Single-Cell RNA Sequencing Approaches. Frontiers in Cell and Developmental Biology. 6. 108–108. 116 indexed citations
6.
Calvopina, Joseph Hargan, et al.. (2015). The Aorta-Gonad-Mesonephros Organ Culture Recapitulates 5hmC Reorganization and Replication-Dependent and Independent Loss of DNA Methylation in the Germline. Stem Cells and Development. 24(13). 1536–1545. 6 indexed citations
8.
Morselli, Marco, William A. Pastor, Barbara Montanini, et al.. (2015). In vivo targeting of de novo DNA methylation by histone modifications in yeast and mouse. eLife. 4. e06205–e06205. 128 indexed citations
9.
Pastor, William A., Hume Stroud, Kevin Nee, et al.. (2014). MORC1 represses transposable elements in the mouse male germline. Nature Communications. 5(1). 5795–5795. 94 indexed citations
10.
Li, Ziwei, Juehua Yu, Kevin Nee, et al.. (2014). The Sm protein methyltransferase PRMT 5 is not required for primordial germ cell specification in mice. The EMBO Journal. 34(6). 748–758. 32 indexed citations
11.
Vincent, John J., Yun Huang, Pao‐Yang Chen, et al.. (2013). Stage-Specific Roles for Tet1 and Tet2 in DNA Demethylation in Primordial Germ Cells. Cell stem cell. 12(4). 470–478. 137 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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