Christopher Semturs

5.4k total citations
7 papers, 196 citations indexed

About

Christopher Semturs is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Health Informatics. According to data from OpenAlex, Christopher Semturs has authored 7 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Ophthalmology and 2 papers in Health Informatics. Recurrent topics in Christopher Semturs's work include Retinal Imaging and Analysis (4 papers), Retinal Diseases and Treatments (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Christopher Semturs is often cited by papers focused on Retinal Imaging and Analysis (4 papers), Retinal Diseases and Treatments (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Christopher Semturs collaborates with scholars based in United States, India and Canada. Christopher Semturs's co-authors include Dale R. Webster, Greg S. Corrado, Naama Hammel, Yun Liu, Rory Sayres, Jonathan Krause, Mike Schaekermann, April Y. Maa, Lily Peng and Sonia Phene and has published in prestigious journals such as Ophthalmology, Investigative Ophthalmology & Visual Science and EBioMedicine.

In The Last Decade

Christopher Semturs

6 papers receiving 193 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Semturs United States	5	149	127	29	27	24	7	196
Zhongwen Li China	11	286 1.9×	246 1.9×	26 0.9×	43 1.6×	28 1.2×	23	341
Sheng Chiong Hong New Zealand	9	153 1.0×	149 1.2×	11 0.4×	23 0.9×	11 0.5×	20	211
Diping Song China	6	186 1.2×	165 1.3×	14 0.5×	63 2.3×	36 1.5×	8	240
Cristina González-Gonzalo Netherlands	6	247 1.7×	202 1.6×	52 1.8×	41 1.5×	57 2.4×	12	326
Sonia Phene United States	2	123 0.8×	110 0.9×	11 0.4×	21 0.8×	18 0.8×	3	138
Abraham Olvera‐Barrios United Kingdom	8	169 1.1×	160 1.3×	14 0.5×	8 0.3×	8 0.3×	33	209
Jinyi Ho Singapore	4	218 1.5×	159 1.3×	46 1.6×	34 1.3×	36 1.5×	6	282
Hina Raja United States	9	216 1.4×	145 1.1×	101 3.5×	53 2.0×	55 2.3×	21	295
Stanley Poh Singapore	8	82 0.6×	74 0.6×	22 0.8×	8 0.3×	10 0.4×	12	148
Saad Khan United Kingdom	5	157 1.1×	111 0.9×	50 1.7×	22 0.8×	37 1.5×	7	263

Countries citing papers authored by Christopher Semturs

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Semturs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Semturs. 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 Christopher Semturs. The network helps show where Christopher Semturs may publish in the future.

Co-authorship network of co-authors of Christopher Semturs

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

All Works

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7 of 7 papers shown

1.

Wong, Renee, Alan Karthikesalingam, Yossi Matias, et al.. (2025). Generative AI for medical education: Insights from a case study with medical students and an AI tutor for clinical reasoning. 1–8. 1 indexed citations

2.

Li, Brenna, Mathias S. Fleck, Renee Wong, et al.. (2024). Conversational AI in health: Design considerations from a Wizard-of-Oz dermatology case study with users, clinicians and a medical LLM. 1–10. 12 indexed citations

3.

Lang, Oran, Doron Stupp, Ilana Traynis, et al.. (2024). Using generative AI to investigate medical imagery models and datasets. EBioMedicine. 102. 105075–105075. 25 indexed citations

4.

Babenko, Boris, Ilana Traynis, Christina Chen, et al.. (2023). A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study. The Lancet Digital Health. 5(5). e257–e264. 20 indexed citations

5.

Soonthornworasiri, Ngamphol, Chetan Rao, Rajiv Raman, et al.. (2020). Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders. Journal of Diabetes Research. 2020. 1–8. 12 indexed citations

6.

Bora, Ashish, Jonathan Krause, Siva Balasubramanian, et al.. (2019). Deep Learning for Identifying Retinal Vein Occlusion Features in Fundus Images. Investigative Ophthalmology & Visual Science. 60(9). 1448–1448.

7.

Phene, Sonia, Naama Hammel, Yun Liu, et al.. (2019). Deep Learning and Glaucoma Specialists. Ophthalmology. 126(12). 1627–1639. 126 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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