Michael A. James

3.3k total citations
36 papers, 1.7k citations indexed

About

Michael A. James is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael A. James has authored 36 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael A. James's work include RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (4 papers) and Cancer-related molecular mechanisms research (3 papers). Michael A. James is often cited by papers focused on RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (4 papers) and Cancer-related molecular mechanisms research (3 papers). Michael A. James collaborates with scholars based in United States, United Kingdom and China. Michael A. James's co-authors include Ming You, Aloysius J. Klingelhutz, John H. Lee, Haris G. Vikis, Michael B. Dwinell, Susan Tsai, Pengyuan Liu, Douglas B. Evans, Katie Palen and Jill A. Gershan and has published in prestigious journals such as Nature Genetics, Blood and PLoS ONE.

In The Last Decade

Michael A. James

36 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael A. James 978 529 456 250 159 36 1.7k
Talya L. Dayton 1.1k 1.1× 460 0.9× 622 1.4× 109 0.4× 118 0.7× 28 1.9k
Qi‐Xiang Li 875 0.9× 587 1.1× 256 0.6× 159 0.6× 222 1.4× 73 1.8k
Daciana Margineantu 1.4k 1.4× 291 0.6× 364 0.8× 135 0.5× 210 1.3× 26 2.2k
Amadeo M. Parissenti 986 1.0× 482 0.9× 322 0.7× 121 0.5× 115 0.7× 68 1.6k
Kenta Masuda 896 0.9× 278 0.5× 496 1.1× 236 0.9× 134 0.8× 77 1.7k
Qingrong Chen 1.3k 1.3× 388 0.7× 450 1.0× 227 0.9× 63 0.4× 61 2.0k
David Gallego‐Ortega 1.1k 1.1× 775 1.5× 445 1.0× 132 0.5× 82 0.5× 56 2.2k
Balraj Singh 989 1.0× 824 1.6× 426 0.9× 328 1.3× 49 0.3× 71 2.0k
Neil A. Cross 934 1.0× 597 1.1× 274 0.6× 83 0.3× 90 0.6× 51 1.7k

Countries citing papers authored by Michael A. James

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. James

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael A. James

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. James. A scholar is included among the top collaborators of Michael A. James 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 A. James. Michael A. James 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.
Parashar, Deepak, Anjali Geethadevi, Donna McAllister, et al.. (2021). Targeted biologic inhibition of both tumor cell-intrinsic and intercellular CLPTM1L/CRR9-mediated chemotherapeutic drug resistance. npj Precision Oncology. 5(1). 16–16. 23 indexed citations
2.
Wang, Fang, Xiao-Mei Qi, Catherine E. Hagen, et al.. (2020). p38γ MAPK Is Essential for Aerobic Glycolysis and Pancreatic Tumorigenesis. Cancer Research. 80(16). 3251–3264. 63 indexed citations
3.
Tsai, Susan, Laura McOlash, Katie Palen, et al.. (2018). Development of primary human pancreatic cancer organoids, matched stromal and immune cells and 3D tumor microenvironment models. BMC Cancer. 18(1). 335–335. 318 indexed citations
4.
Ormseth, Cora, Guido J. Falcone, Sara Jasak, et al.. (2018). Racial Variation in Comfort Measures Only Status in Patients with Intracerebral Hemorrhage (S42.008). Neurology. 90(15_supplement). 1 indexed citations
5.
Puskás, László G., et al.. (2016). Novel Anti-CRR9/CLPTM1L Antibodies with Antitumorigenic Activity Inhibit Cell Surface Accumulation, PI3K Interaction, and Survival Signaling. Molecular Cancer Therapeutics. 15(5). 985–997. 16 indexed citations
6.
James, Michael A., et al.. (2015). A novel, soluble compound, C25, sensitizes to TRAIL-induced apoptosis through upregulation of DR5 expression. Anti-Cancer Drugs. 26(5). 518–530. 3 indexed citations
7.
James, Michael A., Haris G. Vikis, Everett Tate, Amy L. Rymaszewski, & Ming You. (2013). CRR9/CLPTM1L Regulates Cell Survival Signaling and Is Required for Ras Transformation and Lung Tumorigenesis. Cancer Research. 74(4). 1116–1127. 46 indexed citations
8.
James, Michael A., Weidong Wen, Yian Wang, et al.. (2012). Functional Characterization of CLPTM1L as a Lung Cancer Risk Candidate Gene in the 5p15.33 Locus. PLoS ONE. 7(6). e36116–e36116. 80 indexed citations
9.
Freedman, Matthew L., Álvaro N.A. Monteiro, Simon A. Gayther, et al.. (2011). Principles for the post-GWAS functional characterization of cancer risk loci. Nature Genetics. 43(6). 513–518. 298 indexed citations
10.
James, Michael A., et al.. (2010). Dietary administration of berberine or Phellodendron amurense extract inhibits cell cycle progression and lung tumorigenesis. Molecular Carcinogenesis. 50(1). 1–7. 72 indexed citations
11.
James, Michael A., Yan Lü, Yan Liu, Haris G. Vikis, & Ming You. (2009). RGS17, an Overexpressed Gene in Human Lung and Prostate Cancer, Induces Tumor Cell Proliferation Through the Cyclic AMP-PKA-CREB Pathway. Cancer Research. 69(5). 2108–2116. 86 indexed citations
12.
Liu, Peng-Yuan, Haris G. Vikis, Michael A. James, et al.. (2009). Identification of Las2 , a Major Modifier Gene Affecting the Pas1 Mouse Lung Tumor Susceptibility Locus. Cancer Research. 69(15). 6290–6298. 6 indexed citations
13.
Lü, Yan, et al.. (2009). Genetic variants cis-regulating Xrn2 expression contribute to the risk of spontaneous lung tumor. Oncogene. 29(7). 1041–1049. 22 indexed citations
14.
Lü, Yan, Yijun Yi, Pengyuan Liu, et al.. (2007). Common Human Cancer Genes Discovered by Integrated Gene-Expression Analysis. PLoS ONE. 2(11). e1149–e1149. 68 indexed citations
15.
James, Michael A., John H. Lee, & Aloysius J. Klingelhutz. (2006). HPV16‐E6 associated hTERT promoter acetylation is E6AP dependent, increased in later passage cells and enhanced by loss of p300. International Journal of Cancer. 119(8). 1878–1885. 58 indexed citations
16.
Hu, Hai, John Columbus, Yi Zhang, et al.. (2004). A map of WW domain family interactions. PROTEOMICS. 4(3). 643–655. 116 indexed citations
17.
Reid, Marvin, et al.. (2002). Age as a Predictive Factor of Mammographic Breast Density in Jamaican Women. Clinical Radiology. 57(6). 472–476. 9 indexed citations
18.
Bishara, Samir E., et al.. (2000). Dental and skeletal findings on an ancient Egyptian mummy. American Journal of Orthodontics and Dentofacial Orthopedics. 117(1). 10–14. 15 indexed citations
19.
James, Michael A., et al.. (1985). Evaluation of Blood Cardioplegia Administration Systems. Journal of ExtraCorporeal Technology. 17(3). 96–102. 2 indexed citations
20.
James, Michael A.. (1980). Early Adolescent Ego Development. ˜The œHigh School journal. 63(6). 2 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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