James E. Moore

6.7k total citations
138 papers, 5.2k citations indexed

About

James E. Moore is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, James E. Moore has authored 138 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Surgery, 38 papers in Cardiology and Cardiovascular Medicine and 38 papers in Oncology. Recurrent topics in James E. Moore's work include Coronary Interventions and Diagnostics (48 papers), Lymphatic System and Diseases (35 papers) and Cardiovascular Health and Disease Prevention (26 papers). James E. Moore is often cited by papers focused on Coronary Interventions and Diagnostics (48 papers), Lymphatic System and Diseases (35 papers) and Cardiovascular Health and Disease Prevention (26 papers). James E. Moore collaborates with scholars based in United States, United Kingdom and Australia. James E. Moore's co-authors include Christopher Bertram, David C. Zawieja, David N. Ku, Lucas H. Timmins, João S. Soares, Joel L. Berry, Michael R. Moreno, A. Delfino, Anatoliy A. Gashev and Alexander Rachev and has published in prestigious journals such as Physiological Reviews, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

James E. Moore

132 papers receiving 5.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James E. Moore United States 42 2.3k 1.4k 1.2k 1.2k 1.0k 138 5.2k
Donald M. Salter United Kingdom 45 2.1k 0.9× 1.2k 0.8× 777 0.6× 500 0.4× 990 0.9× 165 8.8k
Gabriele Dubini Italy 47 3.1k 1.3× 3.3k 2.3× 1.7k 1.4× 1.9k 1.6× 612 0.6× 199 6.9k
Hiroshi Mizuta Japan 50 2.6k 1.1× 1.4k 1.0× 457 0.4× 482 0.4× 460 0.4× 489 8.9k
Stephen R. Hanson United States 49 1.7k 0.7× 1.0k 0.7× 1.1k 0.9× 1.6k 1.3× 166 0.2× 171 7.4k
Peter Regitnig Austria 35 1.9k 0.8× 2.7k 1.9× 1.7k 1.4× 741 0.6× 861 0.8× 114 5.8k
Moritz A. Konerding Germany 38 1.8k 0.8× 604 0.4× 1.0k 0.8× 241 0.2× 978 0.9× 156 5.2k
K. Jane Grande‐Allen United States 43 1.8k 0.8× 1.4k 1.0× 1.2k 1.0× 3.0k 2.4× 250 0.2× 179 6.3k
Daniel A. Rüfenacht Switzerland 52 1.9k 0.8× 692 0.5× 3.1k 2.5× 813 0.7× 240 0.2× 218 8.6k
Silvio Litovsky United States 43 1.5k 0.6× 1.2k 0.9× 732 0.6× 2.7k 2.3× 320 0.3× 138 7.4k
David E. Schwartz United States 36 790 0.3× 604 0.4× 998 0.8× 941 0.8× 295 0.3× 120 4.9k

Countries citing papers authored by James E. Moore

Since Specialization
Citations

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

Fields of papers citing papers by James E. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James E. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of James E. Moore. A scholar is included among the top collaborators of James E. Moore 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 James E. Moore. James E. Moore 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.
2.
Francis, N., et al.. (2023). Multiscale structure and function of the aortic valve apparatus. Physiological Reviews. 104(4). 1487–1532. 3 indexed citations
3.
Papp, Henrietta, et al.. (2023). Self-Refereeing System in Ultimate during the Joint Junior Ultimate Championship in Three Different Divisions—A Different Way to Promote Fair-Play?. SHILAP Revista de lepidopterología. 3(1). 414–427. 1 indexed citations
4.
Watson, Daniel, et al.. (2022). Generation of stable advective-diffusive chemokine gradients in a three-dimensional hydrogel. AIP Advances. 12(2). 1 indexed citations
5.
Poologasundarampillai, Gowsihan, et al.. (2021). Real-time imaging and analysis of cell-hydrogel interplay within an extrusion-bioprinting capillary. Bioprinting. 23. e00144–e00144. 24 indexed citations
6.
Morris, Christopher J., David C. Zawieja, & James E. Moore. (2021). A multiscale sliding filament model of lymphatic muscle pumping. Biomechanics and Modeling in Mechanobiology. 20(6). 2179–2202. 5 indexed citations
7.
Salmasi, M. Yousuf, et al.. (2020). Validation of markerless strain-field optical tracking approach for soft tissue mechanical assessment. Journal of Biomechanics. 116. 110196–110196. 4 indexed citations
8.
Jafarnejad, Mohammad, Delfim Duarte, Cian Vyas, et al.. (2019). Quantification of the Whole Lymph Node Vasculature Based on Tomography of the Vessel Corrosion Casts. Scientific Reports. 9(1). 13380–13380. 25 indexed citations
9.
Jafarnejad, Mohammad, David C. Zawieja, Bindi S. Brook, Robert J. B. Nibbs, & James E. Moore. (2017). A Novel Computational Model Predicts Key Regulators of Chemokine Gradient Formation in Lymph Nodes and Site-Specific Roles for CCL19 and ACKR4. The Journal of Immunology. 199(7). 2291–2304. 31 indexed citations
10.
Athanasiou, Dimitrios, Lowell T. Edgar, Mohammad Jafarnejad, et al.. (2017). The passive biomechanics of human pelvic collecting lymphatic vessels. PLoS ONE. 12(8). e0183222–e0183222. 7 indexed citations
11.
Cunnea, Paula, Sally A. N. Gowers, James E. Moore, et al.. (2017). Novel technologies in the treatment and monitoring of advanced and relapsed epithelial ovarian cancer. PubMed. 3(1). 13002–13002. 4 indexed citations
12.
Jamalian, Samira, Michael J. Davis, David C. Zawieja, & James E. Moore. (2016). Network Scale Modeling of Lymph Transport and Its Effective Pumping Parameters. PLoS ONE. 11(2). e0148384–e0148384. 35 indexed citations
13.
Wilson, John T., Raoul van Loon, Wei Wang, David C. Zawieja, & James E. Moore. (2015). Determining the combined effect of the lymphatic valve leaflets and sinus on resistance to forward flow. Journal of Biomechanics. 48(13). 3584–3590. 30 indexed citations
14.
Bertram, Christopher, C. Macaskill, Michael J. Davis, & James E. Moore. (2013). Development of a model of a multi-lymphangion lymphatic vessel incorporating realistic and measured parameter values. Biomechanics and Modeling in Mechanobiology. 13(2). 401–416. 45 indexed citations
15.
Bertram, Christopher, C. Macaskill, & James E. Moore. (2013). Incorporating measured valve properties into a numerical model of a lymphatic vessel. Computer Methods in Biomechanics & Biomedical Engineering. 17(14). 1519–1534. 40 indexed citations
16.
Moore, James E.. (2009). Biomechanical Issues in Endovascular Device Design. Journal of Endovascular Therapy. 16(SupplementI). I–1. 17 indexed citations
17.
Duraiswamy, Nandini, et al.. (2005). Spatial Distribution of Platelet Deposition in Stented Arterial Models Under Physiologic Flow. Annals of Biomedical Engineering. 33(12). 1767–1777. 30 indexed citations
18.
Frank, Andreas O., et al.. (2002). Computational Fluid Dynamics and Stent Design. Artificial Organs. 26(7). 614–621. 70 indexed citations
19.
Moore, James E., et al.. (2001). Dynamic curvature strongly affects wall shear rates in a coronary artery bifurcation model. Journal of Biomechanics. 34(9). 1189–1196. 89 indexed citations
20.
He, Xiaoyi, David N. Ku, & James E. Moore. (1993). Simple calculation of the velocity profiles for pulsatile flow in a blood vessel using mathematica. Annals of Biomedical Engineering. 21(1). 45–49. 48 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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