Joslyn Mills

835 total citations
9 papers, 631 citations indexed

About

Joslyn Mills is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Joslyn Mills has authored 9 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Joslyn Mills's work include Sarcoma Diagnosis and Treatment (4 papers), Epigenetics and DNA Methylation (3 papers) and Histone Deacetylase Inhibitors Research (2 papers). Joslyn Mills is often cited by papers focused on Sarcoma Diagnosis and Treatment (4 papers), Epigenetics and DNA Methylation (3 papers) and Histone Deacetylase Inhibitors Research (2 papers). Joslyn Mills collaborates with scholars based in United States and Türkiye. Joslyn Mills's co-authors include Igor Matushansky, Carlos Cordon‐Cardo, Robert G. Maki, Eva Hernando, Nicholas D. Socci, Elizabeth Charytonowicz, Sara Siddiqi, Tulio Matos, Samuel Singer and Mark Edgar and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and American Journal Of Pathology.

In The Last Decade

Joslyn Mills

9 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joslyn Mills United States 9 355 279 251 75 66 9 631
Mary Ann Perle United States 15 178 0.5× 298 1.1× 163 0.6× 120 1.6× 51 0.8× 42 713
Jeanne-Marie Berner Norway 7 341 1.0× 198 0.7× 156 0.6× 120 1.6× 108 1.6× 8 515
T Pasha United States 11 155 0.4× 234 0.8× 235 0.9× 82 1.1× 89 1.3× 12 678
Raul Perret France 13 235 0.7× 357 1.3× 200 0.8× 175 2.3× 110 1.7× 35 687
Avery A. Sandberg United States 15 412 1.2× 217 0.8× 120 0.5× 145 1.9× 114 1.7× 22 643
Nicolas Macagno France 13 196 0.6× 206 0.7× 231 0.9× 57 0.8× 61 0.9× 65 679
I Espinosa Spain 9 214 0.6× 298 1.1× 310 1.2× 251 3.3× 248 3.8× 13 800
Kathrin Radig Germany 16 394 1.1× 181 0.6× 209 0.8× 110 1.5× 78 1.2× 30 590
Marc Ladanyi United States 6 224 0.6× 110 0.4× 120 0.5× 38 0.5× 127 1.9× 8 419
A. Goussia Greece 17 164 0.5× 225 0.8× 181 0.7× 92 1.2× 76 1.2× 34 588

Countries citing papers authored by Joslyn Mills

Since Specialization
Citations

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

Fields of papers citing papers by Joslyn Mills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joslyn Mills

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

All Works

9 of 9 papers shown
1.
Mills, Joslyn, et al.. (2019). LDL receptor related protein 1 requires the I3 domain of discs-large homolog 1/DLG1 for interaction with the kinesin motor protein KIF13B. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1866(12). 118552–118552. 9 indexed citations
2.
Breindel, Jerrica L., Adam Skibinski, Maja Sedic, et al.. (2017). Epigenetic Reprogramming of Lineage-Committed Human Mammary Epithelial Cells Requires DNMT3A and Loss of DOT1L. Stem Cell Reports. 9(3). 943–955. 14 indexed citations
3.
Mills, Joslyn, Todd Hricik, Sara Siddiqi, & Igor Matushansky. (2011). Chromatin Structure Predicts Epigenetic Therapy Responsiveness in Sarcoma. Molecular Cancer Therapeutics. 10(2). 313–324. 10 indexed citations
4.
Siddiqi, Sara, Joslyn Mills, & Igor Matushansky. (2010). Epigenetic Remodeling of Chromatin Architecture: Exploring Tumor Differentiation Therapies in Mesenchymal Stem Cells and Sarcomas. Current Stem Cell Research & Therapy. 5(1). 63–73. 34 indexed citations
5.
Mills, Joslyn, Tulio Matos, Elizabeth Charytonowicz, et al.. (2009). Characterization and comparison of the properties of sarcoma cell linesin vitroandin vivo. Human Cell. 22(4). 85–93. 19 indexed citations
6.
Matushansky, Igor, et al.. (2009). MFH classification: differentiating undifferentiated pleomorphic sarcoma in the 21st Century. Expert Review of Anticancer Therapy. 9(8). 1135–1144. 109 indexed citations
7.
Matushansky, Igor, Eva Hernando, Nicholas D. Socci, et al.. (2008). A Developmental Model of Sarcomagenesis Defines a Differentiation-Based Classification for Liposarcomas. American Journal Of Pathology. 172(4). 1069–1080. 66 indexed citations
8.
Hernando, Eva, Elizabeth Charytonowicz, Mária Dudás, et al.. (2007). The AKT-mTOR pathway plays a critical role in the development of leiomyosarcomas. Nature Medicine. 13(6). 748–753. 218 indexed citations
9.
Matushansky, Igor, Eva Hernando, Nicholas D. Socci, et al.. (2007). Derivation of sarcomas from mesenchymal stem cells via inactivation of the Wnt pathway. Journal of Clinical Investigation. 117(11). 3248–3257. 152 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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