Adam I. Marcus

6.3k total citations
106 papers, 4.2k citations indexed

About

Adam I. Marcus is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Adam I. Marcus has authored 106 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 36 papers in Oncology and 33 papers in Cell Biology. Recurrent topics in Adam I. Marcus's work include Microtubule and mitosis dynamics (22 papers), Cancer Cells and Metastasis (15 papers) and Cancer-related Molecular Pathways (12 papers). Adam I. Marcus is often cited by papers focused on Microtubule and mitosis dynamics (22 papers), Cancer Cells and Metastasis (15 papers) and Cancer-related Molecular Pathways (12 papers). Adam I. Marcus collaborates with scholars based in United States, China and Japan. Adam I. Marcus's co-authors include Shuming Nie, Wei Zhou, Gang Ruan, Amit Agrawal, Richard J. Cyr, Erik R. Kline, Fadlo R. Khuri, Paula M. Vertino, Katherine Schafer-Hales and Lauren S. Havel and has published in prestigious journals such as The Lancet, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Adam I. Marcus

100 papers receiving 4.2k citations

Peers

Adam I. Marcus
Haiyong Han United States
Ho Sup Yoon Singapore
Chris van Bree Netherlands
Gabriela Chiosis United States
Kai Tao China
Susan H. Garfield United States
Adam I. Marcus
Citations per year, relative to Adam I. Marcus Adam I. Marcus (= 1×) peers Zhiyong Wang

Countries citing papers authored by Adam I. Marcus

Since Specialization
Citations

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

Fields of papers citing papers by Adam I. Marcus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam I. Marcus. 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 Adam I. Marcus. The network helps show where Adam I. Marcus may publish in the future.

Co-authorship network of co-authors of Adam I. Marcus

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

All Works

20 of 20 papers shown
1.
Marcus, Laura, et al.. (2025). Metabolic programming defines oxygen-sensitive subpopulation hierarchies and patterning in collective invasion. Molecular Biology of the Cell. 36(11). ar137–ar137.
2.
Tripathi, Brajendra K., Xiaolan Qian, Marian E. Durkin, et al.. (2024). The pro-oncogenic noncanonical activity of a RAS•GTP:RanGAP1 complex facilitates nuclear protein export. Nature Cancer. 5(12). 1902–1918. 1 indexed citations
3.
Koo, Junghui, Chang-Soo Seong, Rebecca E. Parker, et al.. (2024). Live-Cell Invasive Phenotyping Uncovers ALK2 as a Therapeutic Target in LKB1 -Mutant Lung Cancer. Cancer Research. 84(22). 3761–3771. 3 indexed citations
4.
Shanmugam, Mala, et al.. (2024). Abstract 4297: Interrogating metabolic heterogeneity and cooperation in lung cancer collective cell invasion. Cancer Research. 84(6_Supplement). 4297–4297. 1 indexed citations
5.
Sharma, Richa, Janna K. Mouw, Junghui Koo, et al.. (2024). Intra-tumoral YAP and TAZ heterogeneity drives collective NSCLC invasion that is targeted by SUMOylation inhibitor TAK-981. iScience. 27(11). 111133–111133. 2 indexed citations
6.
Jin, Rui, Boxuan Liu, Xiuju Liu, et al.. (2020). Leflunomide Suppresses the Growth of LKB1-Inactivated Tumors in the Immune-Competent Host and Attenuates Distant Cancer Metastasis. Molecular Cancer Therapeutics. 20(2). 274–283. 15 indexed citations
7.
Wei, Changyong, Aditi Sharma, Janna K. Mouw, et al.. (2020). Subpopulation targeting of pyruvate dehydrogenase and GLUT1 decouples metabolic heterogeneity during collective cancer cell invasion. Nature Communications. 11(1). 1533–1533. 82 indexed citations
8.
Konen, Jessica, Bhakti Dwivedi, Manali Rupji, et al.. (2019). Genetic heterogeneity within collective invasion packs drives leader and follower cell phenotypes. Journal of Cell Science. 132(19). 27 indexed citations
9.
O’Melia, Meghan J., Janna K. Mouw, Erin E. Edwards, et al.. (2019). Analyzing Mechanisms of Metastatic Cancer Cell Adhesive Phenotype Leveraging Preparative Adhesion Chromatography Microfluidic. Advanced Biosystems. 3(3). 10 indexed citations
10.
Havel, Lauren S., Allyson E. Koyen, Jessica Konen, et al.. (2017). Vimentin Is Required for Lung Adenocarcinoma Metastasis via Heterotypic Tumor Cell–Cancer-Associated Fibroblast Interactions during Collective Invasion. Clinical Cancer Research. 24(2). 420–432. 181 indexed citations
11.
Konen, Jessica, Bhakti Dwivedi, Kornelia Galior, et al.. (2017). Image-guided genomics of phenotypically heterogeneous populations reveals vascular signalling during symbiotic collective cancer invasion. Nature Communications. 8(1). 15078–15078. 87 indexed citations
12.
Wilkinson, Scott, et al.. (2017). Coordinated cell motility is regulated by a combination of LKB1 farnesylation and kinase activity. Scientific Reports. 7(1). 40929–40929. 6 indexed citations
13.
Chetram, Mahandranauth A., et al.. (2016). Simultaneous Activation of Induced Heterodimerization between CXCR4 Chemokine Receptor and Cannabinoid Receptor 2 (CB2) Reveals a Mechanism for Regulation of Tumor Progression. Journal of Biological Chemistry. 291(19). 9991–10005. 81 indexed citations
14.
Khoury, H. Jean, Guillermo Garcia‐Manero, Gautam Borthakur, et al.. (2011). A phase 1 dose‐escalation study of ARRY‐520, a kinesin spindle protein inhibitor, in patients with advanced myeloid leukemias. Cancer. 118(14). 3556–3564. 56 indexed citations
15.
Morales, Alma R., Katherine Schafer-Hales, Ciceron O. Yanez, et al.. (2009). Excited State Intramolecular Proton Transfer and Photophysics of a New Fluorenyl Two‐Photon Fluorescent Probe. ChemPhysChem. 10(12). 2073–2081. 40 indexed citations
16.
Zhang, Shumin, Katherine Schafer-Hales, Fadlo R. Khuri, et al.. (2008). The Tumor Suppressor LKB1 Regulates Lung Cancer Cell Polarity by Mediating cdc42 Recruitment and Activity. Cancer Research. 68(3). 740–748. 81 indexed citations
17.
Marcus, Adam I., Jun Zhou, Aurora O’Brate, et al.. (2005). The Synergistic Combination of the Farnesyl Transferase Inhibitor Lonafarnib and Paclitaxel Enhances Tubulin Acetylation and Requires a Functional Tubulin Deacetylase. Cancer Research. 65(9). 3883–3893. 93 indexed citations
18.
Zhou, Jun, Adam I. Marcus, Susan L. Holbeck, & Paraskevi Giannakakou. (2005). COMPARE analysis of the NCI-60 cancer cell lines reveals a pharmacological interplay between farnesyltransferase and tubulin deacetylase.. Cancer Research. 65. 7–7. 8 indexed citations
19.
Marcus, Adam I., Ram Dixit, & Richard J. Cyr. (2005). Narrowing of the preprophase microtubule band is not required for cell division plane determination in cultured plant cells. PROTOPLASMA. 226(3-4). 169–174. 24 indexed citations
20.
Kong, Koon Yin, Adam I. Marcus, Jin Young Hong, Paraskevi Giannakakou, & May D. Wang. (2005). Computer Assisted Analysis of Microtubule Dynamics in Living Cells. PubMed. 2005. 3982–3985. 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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