Mark Kowarsky

3.9k total citations · 2 hit papers
17 papers, 2.1k citations indexed

About

Mark Kowarsky is a scholar working on Molecular Biology, Oncology and Global and Planetary Change. According to data from OpenAlex, Mark Kowarsky has authored 17 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Global and Planetary Change. Recurrent topics in Mark Kowarsky's work include Marine Ecology and Invasive Species (4 papers), Cancer Genomics and Diagnostics (3 papers) and Marine Biology and Environmental Chemistry (3 papers). Mark Kowarsky is often cited by papers focused on Marine Ecology and Invasive Species (4 papers), Cancer Genomics and Diagnostics (3 papers) and Marine Biology and Environmental Chemistry (3 papers). Mark Kowarsky collaborates with scholars based in United States, Italy and Japan. Mark Kowarsky's co-authors include Irving L. Weissman, Oliver Dorigo, Amira Barkal, Venkatesh Krishnan, Balyn W. Zaro, Rachel Brewer, Jason Hatakeyama, Layla J. Barkal, Maxim Markovic and Stephen R. Quake and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Immunology.

In The Last Decade

Mark Kowarsky

17 papers receiving 2.1k citations

Hit Papers

CD24 signalling through macrophage Siglec-10 is a target ... 2017 2026 2020 2023 2019 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Kowarsky United States 11 922 916 487 450 302 17 2.1k
Nicolás Gonzalo Núñez Argentina 26 878 1.0× 1.6k 1.8× 1.0k 2.2× 192 0.4× 313 1.0× 53 2.8k
Hidefumi Hiramatsu Japan 19 834 0.9× 917 1.0× 699 1.4× 223 0.5× 260 0.9× 95 2.7k
Marie–Dominique Filippi United States 24 1.2k 1.3× 1.2k 1.3× 281 0.6× 146 0.3× 270 0.9× 55 2.9k
Simon Haas Germany 19 1.9k 2.0× 872 1.0× 346 0.7× 858 1.9× 338 1.1× 40 3.1k
Thomas G. Diacovo United States 33 1.1k 1.2× 1.3k 1.4× 517 1.1× 314 0.7× 215 0.7× 53 3.5k
Eric R. Lechman Canada 25 2.2k 2.4× 799 0.9× 673 1.4× 737 1.6× 274 0.9× 55 3.8k
Valeria Tosello Italy 26 1.5k 1.6× 1.1k 1.2× 782 1.6× 328 0.7× 157 0.5× 59 3.1k
Andrew Stubbs Netherlands 27 1.3k 1.4× 425 0.5× 425 0.9× 729 1.6× 588 1.9× 102 2.9k
Angelica Trejo United States 10 1.7k 1.8× 806 0.9× 420 0.9× 180 0.4× 224 0.7× 12 2.6k
Nagesh Rao United States 26 1.3k 1.4× 304 0.3× 400 0.8× 468 1.0× 155 0.5× 74 2.3k

Countries citing papers authored by Mark Kowarsky

Since Specialization
Citations

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

Fields of papers citing papers by Mark Kowarsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Kowarsky

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

All Works

17 of 17 papers shown
1.
Kowarsky, Mark, Omri Wurtzel, Federico Caicci, et al.. (2022). Stemness Activity Underlying Whole Brain Regeneration in a Basal Chordate. Cells. 11(23). 3727–3727. 3 indexed citations
2.
Kowarsky, Mark, Fabio Gasparini, Federico Caicci, et al.. (2022). Two distinct evolutionary conserved neural degeneration pathways characterized in a colonial chordate. Proceedings of the National Academy of Sciences. 119(29). e2203032119–e2203032119. 7 indexed citations
3.
Kowarsky, Mark, Kohji Hotta, Paolo Burighel, et al.. (2021). Sexual and asexual development: two distinct programs producing the same tunicate. Cell Reports. 34(4). 108681–108681. 20 indexed citations
4.
Kowarsky, Mark, Kohji Hotta, Paolo Burighel, et al.. (2019). Molecular and Morphological Signatures of Chordate Development: Two Distinct Pathways, One Tunicate. SSRN Electronic Journal. 2 indexed citations
5.
Barkal, Amira, Rachel Brewer, Maxim Markovic, et al.. (2019). CD24 signalling through macrophage Siglec-10 is a target for cancer immunotherapy. Nature. 572(7769). 392–396. 956 indexed citations breakdown →
6.
Rosental, Benyamin, Mark Kowarsky, Jun Seita, et al.. (2018). Complex mammalian-like haematopoietic system found in a colonial chordate. Nature. 564(7736). 425–429. 51 indexed citations
7.
Kowarsky, Mark, Joan Camuñas-Soler, Michael A. Kertesz, et al.. (2017). Numerous uncharacterized and highly divergent microbes which colonize humans are revealed by circulating cell-free DNA. Proceedings of the National Academy of Sciences. 114(36). 9623–9628. 131 indexed citations
8.
Darmanis, Spyros, Steven A. Sloan, Derek Croote, et al.. (2017). Single-Cell RNA-Seq Analysis of Infiltrating Neoplastic Cells at the Migrating Front of Human Glioblastoma. Cell Reports. 21(5). 1399–1410. 603 indexed citations breakdown →
9.
Pan, Wenying, Thuy T. M. Ngo, Joan Camuñas-Soler, et al.. (2017). Simultaneously Monitoring Immune Response and Microbial Infections during Pregnancy through Plasma cfRNA Sequencing. Clinical Chemistry. 63(11). 1695–1704. 41 indexed citations
10.
Corey, Daniel, Benyamin Rosental, Mark Kowarsky, et al.. (2016). Developmental cell death programs license cytotoxic cells to eliminate histocompatible partners. Proceedings of the National Academy of Sciences. 113(23). 6520–6525. 17 indexed citations
11.
Rosental, Benyamin, Mark Kowarsky, Daniel Corey, et al.. (2016). Finding the evolutionary precursor of vertebrate hematopoietic lineage: Functional and molecular characterization of B. schlosseri immune system.. The Journal of Immunology. 196(1_Supplement). 216.2–216.2. 3 indexed citations
12.
Vlaminck, Iwijn De, Lance Martin, Michael A. Kertesz, et al.. (2015). Non-Invasive Monitoring of Infection and Rejection After Lung Transplantation. The Journal of Heart and Lung Transplantation. 34(4). S137–S137. 23 indexed citations
13.
Vlaminck, Iwijn De, Lance Martin, Michael A. Kertesz, et al.. (2015). Noninvasive monitoring of infection and rejection after lung transplantation. Proceedings of the National Academy of Sciences. 112(43). 13336–13341. 254 indexed citations
14.
Simpson, David, Amelia J. Thompson, Mark Kowarsky, et al.. (2014). In vivo imaging and tracking of individual nanodiamonds in drosophila melanogaster embryos. Biomedical Optics Express. 5(4). 1250–1250. 26 indexed citations
15.
Kowarsky, Mark, Lloyd C. L. Hollenberg, & A. Martin. (2014). Non-Abelian geometric phase in the diamond nitrogen-vacancy center. Physical Review A. 90(4). 11 indexed citations
16.
Újvári, Beáta, Anne‐Maree Pearse, Robyn Taylor, et al.. (2014). Devil Facial Tumor Disease, A Potential Model of the Cancer Stem-Cell Process?. 1(1). 1 indexed citations
17.
Újvári, Beáta, Katherine Belov, Anne‐Maree Pearse, et al.. (2013). Devil Facial Tumor Disease, a potential model of the Cancer Stem-Cell Process?. 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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