Michael S. Nelson

465 total citations
18 papers, 159 citations indexed

About

Michael S. Nelson is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Michael S. Nelson has authored 18 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Immunology. Recurrent topics in Michael S. Nelson's work include AI in cancer detection (3 papers), Immunotherapy and Immune Responses (3 papers) and CAR-T cell therapy research (2 papers). Michael S. Nelson is often cited by papers focused on AI in cancer detection (3 papers), Immunotherapy and Immune Responses (3 papers) and CAR-T cell therapy research (2 papers). Michael S. Nelson collaborates with scholars based in United States, Netherlands and Denmark. Michael S. Nelson's co-authors include Kevin W. Eliceiri, Bin Li, Surinder K. Batra, Ravi Salgia, Saumya Srivastava, Arin Nam, Agnes G. Loeffler, Mohd W. Nasser, Isa Mambetsariev and Colt A. Egelston and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Michael S. Nelson

16 papers receiving 158 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael S. Nelson United States 8 73 49 23 20 16 18 159
Liangfang Shen China 9 103 1.4× 39 0.8× 36 1.6× 18 0.9× 22 1.4× 21 194
Jeong-Woo Oh South Korea 7 83 1.1× 46 0.9× 25 1.1× 9 0.5× 8 0.5× 8 153
Huan-Chang Liang Austria 4 74 1.0× 42 0.9× 44 1.9× 40 2.0× 12 0.8× 5 255
Giuseppe Mallel Israel 7 51 0.7× 89 1.8× 36 1.6× 26 1.3× 26 1.6× 12 187
Julie‐Ann Cavallo United States 3 121 1.7× 49 1.0× 43 1.9× 18 0.9× 17 1.1× 3 195
Yongjie Xie China 7 72 1.0× 72 1.5× 49 2.1× 34 1.7× 13 0.8× 31 174
Linlin Mao China 10 122 1.7× 79 1.6× 62 2.7× 31 1.6× 23 1.4× 27 228
Carolin Ploeger Germany 7 118 1.6× 52 1.1× 56 2.4× 17 0.8× 9 0.6× 9 225
Yunhan Ma China 8 82 1.1× 30 0.6× 46 2.0× 26 1.3× 35 2.2× 32 179
Lingrui Li China 11 110 1.5× 82 1.7× 44 1.9× 27 1.4× 16 1.0× 25 309

Countries citing papers authored by Michael S. Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Nelson. 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 Michael S. Nelson. The network helps show where Michael S. Nelson may publish in the future.

Co-authorship network of co-authors of Michael S. Nelson

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Nelson. A scholar is included among the top collaborators of Michael S. Nelson 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 Michael S. Nelson. Michael S. Nelson 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.
Egelston, Colt A., Weihua Guo, Diana L. Simons, et al.. (2024). Organ-Specific Immune Setpoints Underlie Divergent Immune Profiles across Metastatic Sites in Breast Cancer. Cancer Immunology Research. 12(11). 1559–1573. 2 indexed citations
2.
Li, Bin, et al.. (2023). Hardware-software co-design of an open-source automatic multimodal whole slide histopathology imaging system. Journal of Biomedical Optics. 28(2). 26501–26501.
3.
4.
Tienhoven, René van, Arno R. van der Slik, Sofia Thomaidou, et al.. (2023). Presence of immunogenic alternatively spliced insulin gene product in human pancreatic delta cells. Diabetologia. 66(5). 884–896. 7 indexed citations
5.
Nelson, Michael S., Yuming Liu, Bin Li, et al.. (2023). Multiscale Label-Free Imaging of Fibrillar Collagen in the Tumor Microenvironment. Methods in molecular biology. 2614. 187–235. 9 indexed citations
6.
Maldonado, Maricela, Ya‐Ting Chang, W.S.B. Yeung, et al.. (2023). Coordination between ECM and cell-cell adhesion regulates the development of islet aggregation, architecture, and functional maturation. eLife. 12. 14 indexed citations
7.
Kang, HyunJun, Sergio Branciamore, Denis O’Meally, et al.. (2022). Integration of single-cell transcriptomes and biological function reveals distinct behavioral patterns in bone marrow endothelium. Nature Communications. 13(1). 7235–7235. 6 indexed citations
8.
Egelston, Colt A., Weihua Guo, Jiayi Tan, et al.. (2022). Tumor-infiltrating exhausted CD8+ T cells dictate reduced survival in premenopausal estrogen receptor–positive breast cancer. JCI Insight. 7(3). 25 indexed citations
9.
Li, Bin, et al.. (2022). Differentiation of pancreatic ductal adenocarcinoma and chronic pancreatitis using graph neural networks on histopathology and collagen fiber features. Journal of Pathology Informatics. 13. 100158–100158. 15 indexed citations
10.
Mirzapoiazova, Tamara, Gang Xiao, Bolot Mambetsariev, et al.. (2021). Protein Phosphatase 2A as a Therapeutic Target in Small Cell Lung Cancer. Molecular Cancer Therapeutics. 20(10). 1820–1835. 9 indexed citations
11.
Srivastava, Saumya, Ka Ming Pang, Mari Iida, et al.. (2020). Activation of EPHA2-ROBO1 Heterodimer by SLIT2 Attenuates Non-canonical Signaling and Proliferation in Squamous Cell Carcinomas. iScience. 23(11). 101692–101692. 10 indexed citations
12.
Mohanty, Atish, Arin Nam, Alexander Pozhitkov, et al.. (2020). A Non-genetic Mechanism Involving the Integrin β4/Paxillin Axis Contributes to Chemoresistance in Lung Cancer. iScience. 23(9). 101496–101496. 32 indexed citations
13.
Nguyen, Dang, Michael S. Nelson, Lianjun Zhang, et al.. (2020). Requirement of GTP binding for TIF‐90‐regulated ribosomal RNA synthesis and oncogenic activities in human colon cancer cells. Journal of Cellular Physiology. 235(10). 7567–7579. 3 indexed citations
14.
Castanotto, Daniela, Xiaowei Zhang, Jessica Alluin, et al.. (2020). A Multifunctional LNA Oligonucleotide-Based Strategy Blocks AR Expression and Transactivation Activity in PCa Cells. Molecular Therapy — Nucleic Acids. 23. 63–75. 5 indexed citations
15.
McCarthy, Brian P., et al.. (2020). 153 NEO-PTC-01 (BNT-221), an autologous neoantigen-specific T-cell product for adoptive cell therapy of metastatic melanoma. SHILAP Revista de lepidopterología. A92–A93.
16.
Mirzapoiazova, Tamara, Alexander Pozhitkov, Arin Nam, et al.. (2020). Effects of selected deubiquitinating enzyme inhibitors on the proliferation and motility of lung cancer and mesothelioma cell lines. International Journal of Oncology. 57(1). 80–86. 8 indexed citations
17.
Lee, Edmund C., Jessica Xu, Thomas M. Vincent, et al.. (2014). Abstract 1459: miR-221: A potential therapeutic target for hepatocellular carcinoma. Cancer Research. 74(19_Supplement). 1459–1459. 3 indexed citations
18.
Rosso, Pedro, Michael S. Nelson, & Myron Winick. (1973). Changes in cellular RNA content and alkaline ribonuclease activity in rat liver during development.. PubMed. 37(2). 143–51. 7 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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