Susan Pitman Lowenthal

1.4k total citations · 1 hit paper
19 papers, 1.1k citations indexed

About

Susan Pitman Lowenthal is a scholar working on Oncology, Epidemiology and Neurology. According to data from OpenAlex, Susan Pitman Lowenthal has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 10 papers in Epidemiology and 7 papers in Neurology. Recurrent topics in Susan Pitman Lowenthal's work include Neuroendocrine Tumor Research Advances (9 papers), Lung Cancer Research Studies (8 papers) and Neuroblastoma Research and Treatments (7 papers). Susan Pitman Lowenthal is often cited by papers focused on Neuroendocrine Tumor Research Advances (9 papers), Lung Cancer Research Studies (8 papers) and Neuroblastoma Research and Treatments (7 papers). Susan Pitman Lowenthal collaborates with scholars based in United States, France and Germany. Susan Pitman Lowenthal's co-authors include Paul M. Ridker, Nader Rifai, Hyun Cheol Chung, Masao Omata, Éric Raymond, Joong‐Won Park, Xiangqun Song, Liqiang Yang, Guido Poggi and Masatoshi Kudo and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Annals of Oncology.

In The Last Decade

Susan Pitman Lowenthal

19 papers receiving 1.1k citations

Hit Papers

Sunitinib Versus Sorafenib in Advanced Hepatocellular Can... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan Pitman Lowenthal United States 10 470 376 299 261 256 19 1.1k
Dawn M. Carlson United States 15 572 1.2× 187 0.5× 177 0.6× 360 1.4× 221 0.9× 44 1.1k
Takashi Niizeki Japan 22 747 1.6× 359 1.0× 252 0.8× 228 0.9× 326 1.3× 70 1.2k
Hwi Young Kim South Korea 20 1.0k 2.2× 943 2.5× 393 1.3× 278 1.1× 205 0.8× 58 1.7k
Seiji Kawazoe Japan 17 682 1.5× 436 1.2× 289 1.0× 248 1.0× 276 1.1× 33 1.4k
Tatsunori Miyata Japan 20 198 0.4× 447 1.2× 488 1.6× 219 0.8× 626 2.4× 91 1.5k
Dawn M. Emick United States 6 471 1.0× 786 2.1× 260 0.9× 120 0.5× 237 0.9× 7 1.2k
Celina Ang United States 16 330 0.7× 127 0.3× 214 0.7× 170 0.7× 338 1.3× 51 956
Koki Otsuka Japan 19 285 0.6× 158 0.4× 728 2.4× 173 0.7× 485 1.9× 101 1.3k
Kate Sumpter United Kingdom 13 332 0.7× 431 1.1× 427 1.4× 107 0.4× 381 1.5× 24 1.2k
Keiko Nakajima Japan 16 1.3k 2.7× 599 1.6× 327 1.1× 471 1.8× 327 1.3× 58 1.9k

Countries citing papers authored by Susan Pitman Lowenthal

Since Specialization
Citations

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

Fields of papers citing papers by Susan Pitman Lowenthal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan Pitman Lowenthal. 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 Susan Pitman Lowenthal. The network helps show where Susan Pitman Lowenthal may publish in the future.

Co-authorship network of co-authors of Susan Pitman Lowenthal

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

All Works

19 of 19 papers shown
1.
Lowenthal, Susan Pitman, et al.. (2022). Cost of Treatment of Neuroischemic Ulcers of the Lower Extremity in Patients with Peripheral Artery Disease in the United States. Journal of the American Podiatric Medical Association. 112(6). 1 indexed citations
3.
Mirakhur, Beloo, Marianne Pavel, Rodney F. Pommier, et al.. (2018). Biochemical Responses in Symptomatic and Asymptomatic Patients with Neuroendocrine Tumors: Pooled Analysis of Two Phase 3 Trials. Endocrine Practice. 24(11). 948–962. 7 indexed citations
4.
Pavel, Marianne, Alexandria T. Phan, Edward M. Wolin, et al.. (2018). Effect of Lanreotide Depot/Autogel on Urinary 5-Hydroxyindoleacetic Acid and Plasma Chromogranin A Biomarkers in Nonfunctional Metastatic Enteropancreatic Neuroendocrine Tumors. The Oncologist. 24(4). 463–474. 12 indexed citations
8.
Wolin, Edward M., George A. Fisher, Pamela L. Kunz, et al.. (2016). Efficacy of lanreotide autogel/depot (LAN) vs placebo (PBO) for symptomatic control of carcinoid syndrome (CS) in neuroendocrine tumor (NET) patients from the ELECT study. Annals of Oncology. 27. vi143–vi143. 1 indexed citations
9.
Phan, Alexandria T., et al.. (2016). Tumor response in the CLARINET study of lanreotide depot vs. placebo in patients with metastatic gastroenteropancreatic neuroendocrine tumors (GEP-NETs).. Journal of Clinical Oncology. 34(4_suppl). 434–434. 13 indexed citations
10.
Akaza, Hideyuki, et al.. (2015). Real-world use of sunitinib in Japanese patients with advanced renal cell carcinoma: efficacy, safety and biomarker analyses in 1689 consecutive patients. Japanese Journal of Clinical Oncology. 45(6). 576–583. 43 indexed citations
11.
Fisher, George A., Edward M. Wolin, Pamela L. Kunz, et al.. (2015). Safety and Efficacy of Lanreotide Depot Versus Placebo in Neuroendocrine Tumor Patients With a History of Carcinoid Syndrome and Prior Octreotide Therapy. The American Journal of Gastroenterology. 110. S1007–S1007. 2 indexed citations
12.
Lee, Se‐Hoon, Yung‐Jue Bang, Paul N. Mainwaring, et al.. (2014). Sunitinib in metastatic renal cell carcinoma: An ethnic Asian subpopulation analysis for safety and efficacy. Asia-Pacific Journal of Clinical Oncology. 10(3). 237–245. 36 indexed citations
13.
Boyer, Michael, Ming‐Sound Tsao, Pasi A. Jänne, et al.. (2014). Preparing for tomorrow: Molecular diagnostics and the changing nonsmall cell lung cancer landscape. Asia-Pacific Journal of Clinical Oncology. 10(S2). 2–10. 3 indexed citations
14.
Cheng, Ann‐Lii, Yoon‐Koo Kang, Deng‐Yn Lin, et al.. (2013). Sunitinib Versus Sorafenib in Advanced Hepatocellular Cancer: Results of a Randomized Phase III Trial. Journal of Clinical Oncology. 31(32). 4067–4075. 586 indexed citations breakdown →
15.
Mainwaring, Paul N., Chun Wai Ng, Philip Wai‐Kay Kwong, et al.. (2009). 7118 An Asian subpopulation analysis of the safety and efficacy of sunitinib in metastatic renal cell carcinoma. European Journal of Cancer Supplements. 7(2). 428–428. 15 indexed citations
16.
Taylor, Allen J., et al.. (2001). Lipid‐Lowering Efficacy, Safety, and Costs of a Large‐Scale Therapeutic Statin Formulary Conversion Program. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 21(9). 1130–1139. 21 indexed citations
17.
Ridker, P. M., et al.. (2001). Rapid reduction in C-reactive protein with cerivastatin among 785 patients with primary hypercholesterolemia. ACC Current Journal Review. 10(5). 26–26. 8 indexed citations
18.
Ridker, Paul M., Nader Rifai, & Susan Pitman Lowenthal. (2001). Rapid Reduction in C-Reactive Protein With Cerivastatin Among 785 Patients With Primary Hypercholesterolemia. Circulation. 103(9). 1191–1193. 328 indexed citations
19.
Lowenthal, Susan Pitman, et al.. (1995). [Laparoscopic selective vagotomy (posterior truncal vagotomy and anterior linear stomach resection) in complicated duodenal ulcer].. PubMed. 120(5). 373–6. 1 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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