Stephen D. Clark

795 total citations · 1 hit paper
8 papers, 506 citations indexed

About

Stephen D. Clark is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Stephen D. Clark has authored 8 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 3 papers in Oncology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Stephen D. Clark's work include Lung Cancer Diagnosis and Treatment (5 papers), Global Cancer Incidence and Screening (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Stephen D. Clark is often cited by papers focused on Lung Cancer Diagnosis and Treatment (5 papers), Global Cancer Incidence and Screening (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Stephen D. Clark collaborates with scholars based in United States. Stephen D. Clark's co-authors include Daniel S. Reuland, Daniel E Jonas, Chineme Enyioha, Alison T. Brenner, Teri L. Malo, Christiane Voisin, Max Nagle, Charli Armstrong, Rachel Palmieri Weber and Russell Harris and has published in prestigious journals such as JAMA, Journal of General Internal Medicine and Physical Therapy.

In The Last Decade

Stephen D. Clark

8 papers receiving 491 citations

Hit Papers

Screening for Lung Cancer With Low-Dose Computed Tomography 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen D. Clark United States 7 290 140 136 84 54 8 506
David Skarsgard Canada 13 205 0.7× 112 0.8× 68 0.5× 107 1.3× 11 0.2× 25 450
Pragya Shukla India 12 129 0.4× 88 0.6× 98 0.7× 90 1.1× 24 0.4× 43 398
Amita Rastogi United States 10 97 0.3× 75 0.5× 46 0.3× 96 1.1× 15 0.3× 16 396
Aydın Yavuz Türkiye 10 130 0.4× 81 0.6× 77 0.6× 92 1.1× 4 0.1× 33 326
Rian M. Hasson United States 10 103 0.4× 73 0.5× 19 0.1× 72 0.9× 7 0.1× 31 306
Glynn Weldon Gilcrease United States 10 71 0.2× 109 0.8× 25 0.2× 102 1.2× 9 0.2× 21 320
Punam Thakkar United States 9 66 0.2× 61 0.4× 12 0.1× 151 1.8× 15 0.3× 55 336
Sing-Hung Lo China 9 104 0.4× 95 0.7× 35 0.3× 107 1.3× 3 0.1× 13 331
Jos de Jong Netherlands 9 193 0.7× 96 0.7× 28 0.2× 141 1.7× 5 0.1× 14 390
Maria Rosaria Fiore Italy 11 173 0.6× 125 0.9× 33 0.2× 91 1.1× 18 0.3× 23 301

Countries citing papers authored by Stephen D. Clark

Since Specialization
Citations

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

Fields of papers citing papers by Stephen D. Clark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen D. Clark. 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 Stephen D. Clark. The network helps show where Stephen D. Clark may publish in the future.

Co-authorship network of co-authors of Stephen D. Clark

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

All Works

8 of 8 papers shown
1.
Clark, Stephen D., Daniel S. Reuland, Alison T. Brenner, & Daniel E Jonas. (2022). Effect of Incidental Findings Information on Lung Cancer Screening Intent: a Randomized Controlled Trial. Journal of General Internal Medicine. 37(14). 3676–3683. 5 indexed citations
2.
Clark, Stephen D., Daniel S. Reuland, Alison T. Brenner, & Michael Pignone. (2021). What is the effect of a decision aid on knowledge, values and preferences for lung cancer screening? An online pre–post study. BMJ Open. 11(7). e045160–e045160. 9 indexed citations
3.
Jonas, Daniel E, Daniel S. Reuland, Shivani Reddy, et al.. (2021). Screening for Lung Cancer With Low-Dose Computed Tomography: An Evidence Review for the U.S. Preventive Services Task Force. Europe PMC (PubMed Central). 22 indexed citations
4.
Jonas, Daniel E, Daniel S. Reuland, Shivani Reddy, et al.. (2021). Screening for Lung Cancer With Low-Dose Computed Tomography. JAMA. 325(10). 971–971. 358 indexed citations breakdown →
5.
Clark, Stephen D., Daniel S. Reuland, Chineme Enyioha, & Daniel E Jonas. (2020). Assessment of Lung Cancer Screening Program Websites. JAMA Internal Medicine. 180(6). 824–824. 19 indexed citations
6.
Molinares, Diana, et al.. (2015). Is the lateral jack-knife position responsible for cases of transient neurapraxia?. Journal of Neurosurgery Spine. 24(1). 189–196. 12 indexed citations
7.
Clark, Stephen D., et al.. (1999). Anesthetic efficacy of the mylohyoid nerve block and combination inferior alveolar nerve block/mylohyoid nerve block. Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology. 87(5). 557–563. 59 indexed citations
8.
Clark, Stephen D., et al.. (1981). California Physicians' Professional Image of Physical Therapists. Physical Therapy. 61(8). 1152–1157. 22 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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