Nicholas W. Bateman

2.9k total citations
69 papers, 1.4k citations indexed

About

Nicholas W. Bateman is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Nicholas W. Bateman has authored 69 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 18 papers in Cancer Research and 16 papers in Oncology. Recurrent topics in Nicholas W. Bateman's work include Advanced Proteomics Techniques and Applications (15 papers), Endometrial and Cervical Cancer Treatments (14 papers) and Ovarian cancer diagnosis and treatment (14 papers). Nicholas W. Bateman is often cited by papers focused on Advanced Proteomics Techniques and Applications (15 papers), Endometrial and Cervical Cancer Treatments (14 papers) and Ovarian cancer diagnosis and treatment (14 papers). Nicholas W. Bateman collaborates with scholars based in United States, Germany and Taiwan. Nicholas W. Bateman's co-authors include Thomas P. Conrads, Brian L. Hood, Christine C. Wu, G. Larry Maxwell, Kathleen M. Darcy, Pang-ning Teng, Michael J. MacCoss, Chad A. Hamilton, Jennifer D. Black and Adrian R. Black and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Nicholas W. Bateman

63 papers receiving 1.4k citations

Peers

Nicholas W. Bateman
Jiekai Yu China
Jason M. Rosenzweig United States
Jaeyeon Kim United States
Brian Piening United States
Jiekai Yu China
Nicholas W. Bateman
Citations per year, relative to Nicholas W. Bateman Nicholas W. Bateman (= 1×) peers Jiekai Yu

Countries citing papers authored by Nicholas W. Bateman

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas W. Bateman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas W. Bateman. 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 Nicholas W. Bateman. The network helps show where Nicholas W. Bateman may publish in the future.

Co-authorship network of co-authors of Nicholas W. Bateman

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas W. Bateman. A scholar is included among the top collaborators of Nicholas W. Bateman 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 Nicholas W. Bateman. Nicholas W. Bateman 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.
Tian, Chunqiao, Chad A. Hamilton, Michael Richardson, et al.. (2024). Immuno-Molecular Targeted Therapy Use and Survival Benefit in Patients with Stage IVB Cervical Carcinoma in Commission on Cancer®-Accredited Facilities in the United States. Cancers. 16(5). 1071–1071. 1 indexed citations
2.
McGee, John P., Pei Su, Kenneth R. Durbin, et al.. (2023). Automated imaging and identification of proteoforms directly from ovarian cancer tissue. Nature Communications. 14(1). 6478–6478. 17 indexed citations
3.
Kim, Hong Im, Kelly A. Conrads, Brian L. Hood, et al.. (2023). Metronomic dosing of ovarian cancer cells with the ATR inhibitor AZD6738 leads to loss of CDC25A expression and resistance to ATRi treatment. Gynecologic Oncology. 177. 60–71. 1 indexed citations
4.
Teng, Pang-ning, Waleed Barakat, Nicholas W. Bateman, et al.. (2023). Brain proteomic atlas of alcohol use disorder in adult males. Translational Psychiatry. 13(1). 318–318. 6 indexed citations
5.
Hunt, Allison L., Imran Khan, Sasha C. Makohon‐Moore, et al.. (2023). The murine metastatic microenvironment of experimental brain metastases of breast cancer differs by host age in vivo: a proteomic study. Clinical & Experimental Metastasis. 41(3). 229–249. 1 indexed citations
6.
Hunt, Allison L., A. Papazian, John F. Deeken, et al.. (2023). Integration of Multi-omic Data in a Molecular Tumor Board Reveals EGFR-Associated ALK-Inhibitor Resistance in a Patient With Inflammatory Myofibroblastic Cancer. The Oncologist. 28(8). 730–736. 11 indexed citations
7.
Hunt, Allison L., Kelly A. Conrads, Brian L. Hood, et al.. (2022). Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment. Journal of Visualized Experiments. 2 indexed citations
8.
Bateman, Nicholas W., Christine Rojas, Kelly A. Conrads, et al.. (2022). Proteomic alterations associated with residual disease in neoadjuvant chemotherapy treated ovarian cancer tissues. Clinical Proteomics. 19(1). 35–35. 4 indexed citations
9.
Beer, Lucian, Hilal Şahin, Nicholas W. Bateman, et al.. (2020). Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis. European Radiology. 30(8). 4306–4316. 29 indexed citations
10.
Wang, Kent Z.Q., Erin Steer, P. Anthony Otero, et al.. (2018). PINK1 Interacts with VCP/p97 and Activates PKA to Promote NSFL1C/p47 Phosphorylation and Dendritic Arborization in Neurons. eNeuro. 5(6). ENEURO.0466–18.2018. 35 indexed citations
11.
Teng, Pang-ning, Nicholas W. Bateman, Guisong Wang, et al.. (2017). Establishment and characterization of a platinum- and paclitaxel-resistant high grade serous ovarian carcinoma cell line. Human Cell. 30(3). 226–236. 7 indexed citations
12.
Russo, Paul, Brian L. Hood, Nicholas W. Bateman, & Thomas P. Conrads. (2017). Quantitative Mass Spectrometry by Isotope Dilution and Multiple Reaction Monitoring (MRM). Methods in molecular biology. 1606. 313–332. 8 indexed citations
13.
Tarney, Christopher M., Chunqiao Tian, Guisong Wang, et al.. (2017). Impact of age at diagnosis on racial disparities in endometrial cancer patients. Gynecologic Oncology. 149(1). 12–21. 23 indexed citations
14.
Phippen, Neil T., Nicholas W. Bateman, Guisong Wang, et al.. (2016). NUAK1 (ARK5) Is Associated with Poor Prognosis in Ovarian Cancer. Frontiers in Oncology. 6. 213–213. 34 indexed citations
15.
Hood, Brian L., Baoquan Liu, Yutaka Shoji, et al.. (2015). Proteomics of the Human Endometrial Glandular Epithelium and Stroma from the Proliferative and Secretory Phases of the Menstrual Cycle1. Biology of Reproduction. 92(4). 106–106. 35 indexed citations
16.
Egertson, Jarrett D., Andreas Kuehn, Gennifer E. Merrihew, et al.. (2013). Multiplexed MS/MS for improved data-independent acquisition. Nature Methods. 10(8). 744–746. 221 indexed citations
17.
Bateman, Nicholas W., Scott P. Goulding, Nicholas Shulman, et al.. (2013). Maximizing Peptide Identification Events in Proteomic Workflows Using Data-Dependent Acquisition (DDA). Molecular & Cellular Proteomics. 13(1). 329–338. 91 indexed citations
18.
Bateman, Nicholas W., Mai Sun, Rohit Bhargava, et al.. (2010). Differential Proteomic Analysis of Late-Stage and Recurrent Breast Cancer from Formalin-Fixed Paraffin-Embedded Tissues. Journal of Proteome Research. 10(3). 1323–1332. 37 indexed citations
19.
Bateman, Nicholas W., et al.. (2007). Large-Scale Automated Analysis of Location Patterns in Randomly Tagged 3T3 Cells. Annals of Biomedical Engineering. 35(6). 1081–1087. 25 indexed citations
20.
Bateman, Nicholas W., et al.. (2003). Initial assessment and management. Clinical Medicine. 3(2). 107–110. 36 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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