Malcom J. Moore

686 total citations
8 papers, 463 citations indexed

About

Malcom J. Moore is a scholar working on Surgery, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Malcom J. Moore has authored 8 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 3 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Malcom J. Moore's work include Testicular diseases and treatments (3 papers), Bladder and Urothelial Cancer Treatments (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Malcom J. Moore is often cited by papers focused on Testicular diseases and treatments (3 papers), Bladder and Urothelial Cancer Treatments (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Malcom J. Moore collaborates with scholars based in Canada, Slovakia and Denmark. Malcom J. Moore's co-authors include M. W. Smith, Roger A. Klein, Patricia A. Tang, Michael A.S. Jewett, Padraig Warde, Philippe L. Bédard, Craig R. Nichols, Alan So, Christian Kollmannsberger and Tom Powles and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Urology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Malcom J. Moore

8 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Malcom J. Moore Canada	7	317	176	110	87	77	8	463
Shin‐ichiro Maehara Japan	15	225 0.7×	311 1.8×	96 0.9×	19 0.2×	193 2.5×	29	732
Shuhei Sumi Japan	13	102 0.3×	208 1.2×	125 1.1×	25 0.3×	85 1.1×	31	461
Donald G. Clark United States	11	111 0.4×	87 0.5×	74 0.7×	13 0.1×	140 1.8×	22	427
Chi‐Wei Lin United States	11	101 0.3×	194 1.1×	213 1.9×	18 0.2×	69 0.9×	18	439
Daniel Patterson United Kingdom	10	135 0.4×	121 0.7×	63 0.6×	6 0.1×	94 1.2×	17	644
Taiji Nishimura Japan	11	122 0.4×	94 0.5×	111 1.0×	70 0.8×	62 0.8×	65	413
Per Å. Høisæter Norway	12	50 0.2×	79 0.4×	289 2.6×	89 1.0×	64 0.8×	28	455
Hiroaki Kawanishi Japan	8	76 0.2×	139 0.8×	73 0.7×	12 0.1×	123 1.6×	30	333
H Kanamaru Japan	12	120 0.4×	135 0.8×	239 2.2×	38 0.4×	146 1.9×	35	518

Countries citing papers authored by Malcom J. Moore

Since Specialization

Citations

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

Fields of papers citing papers by Malcom J. Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malcom J. Moore

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

All Works

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8 of 8 papers shown

Boström, Peter J., Tuomas Mirtti, Bas van Rhijn, et al.. (2016). Benefit of Adjuvant Chemotherapy and Pelvic Lymph Node Dissection in pT3 and Node Positive Bladder Cancer Patients Treated with Radical Cystectomy. Bladder Cancer. 2(2). 263–272. 6 indexed citations

Kollmannsberger, Christian, Torgrim Tandstad, Philippe L. Bédard, et al.. (2014). Patterns of Relapse in Patients With Clinical Stage I Testicular Cancer Managed With Active Surveillance. Journal of Clinical Oncology. 33(1). 51–57. 207 indexed citations

Tang, Patricia A. & Malcom J. Moore. (2013). Aflibercept in the treatment of patients with metastatic colorectal cancer: latest findings and interpretations. Therapeutic Advances in Gastroenterology. 6(6). 459–473. 28 indexed citations

Chung, Peter, Martin O’Malley, Michael A.S. Jewett, et al.. (2011). Evaluation of low-dose CT scans for surveillance in stage I testicular cancer.. Journal of Clinical Oncology. 29(15_suppl). 4565–4565. 2 indexed citations

Maase, Hans von der, L. Sengeløv, J.T. Roberts, et al.. (2006). Long-Term Survival Results of a Randomized Trial Comparing Gemcitabine Plus Cisplatin, with Methotrexate, Vinblastine, Doxorubicin, Plus Cisplatin in Patients with Bladder Cancer. The Journal of Urology. 175(2). 482–482. 112 indexed citations

Warde, Padraig, Mary Gospodarowicz, Tony Panzarella, et al.. (1997). 43 Issues in the management of stage I testicular seminoma. International Journal of Radiation Oncology*Biology*Physics. 39(2). 156–156. 7 indexed citations

Moore, Malcom J., et al.. (1985). Location of ubiquinone-10 (CoQ-10) in phospholipid vesicles. Biochimica et Biophysica Acta (BBA) - Biomembranes. 821(1). 121–129. 19 indexed citations

Klein, Roger A., Malcom J. Moore, & M. W. Smith. (1971). Selective diffusion of neutral amino acids across lipid bilayers. Biochimica et Biophysica Acta (BBA) - Biomembranes. 233(2). 420–433. 82 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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