Chris Stokel-Walker

2.8k total citations · 3 hit papers
80 papers, 1.7k citations indexed

About

Chris Stokel-Walker is a scholar working on Sociology and Political Science, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Chris Stokel-Walker has authored 80 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sociology and Political Science, 10 papers in Artificial Intelligence and 9 papers in Infectious Diseases. Recurrent topics in Chris Stokel-Walker's work include Artificial Intelligence in Healthcare and Education (9 papers), Misinformation and Its Impacts (6 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Chris Stokel-Walker is often cited by papers focused on Artificial Intelligence in Healthcare and Education (9 papers), Misinformation and Its Impacts (6 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Chris Stokel-Walker collaborates with scholars based in United Kingdom and United States. Chris Stokel-Walker's co-authors include Richard Van Noorden and Elisabeth Mahase and has published in prestigious journals such as Nature, BMJ and Scientific American.

In The Last Decade

Chris Stokel-Walker

63 papers receiving 1.6k citations

Hit Papers

ChatGPT listed as author on research papers: many scienti... 2022 2026 2023 2024 2023 2023 2022 100 200 300 400 500

Peers

Chris Stokel-Walker
Avishek Choudhury United States
W. Nicholson Price United States
Julia Amann Switzerland
Judy Wawira Gichoya United States
Michael Hogarth United States
Timo Minssen Denmark
Avishek Choudhury United States
Chris Stokel-Walker
Citations per year, relative to Chris Stokel-Walker Chris Stokel-Walker (= 1×) peers Avishek Choudhury

Countries citing papers authored by Chris Stokel-Walker

Since Specialization
Citations

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

Fields of papers citing papers by Chris Stokel-Walker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Stokel-Walker. 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 Chris Stokel-Walker. The network helps show where Chris Stokel-Walker may publish in the future.

Co-authorship network of co-authors of Chris Stokel-Walker

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Stokel-Walker. A scholar is included among the top collaborators of Chris Stokel-Walker 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 Chris Stokel-Walker. Chris Stokel-Walker 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.
Stokel-Walker, Chris. (2026). Royal colleges leave X because of “harmful content and abusive behaviour”. BMJ. 392. s185–s185.
2.
Stokel-Walker, Chris. (2025). The “ambient scribe” tools listening to and summarising your doctor-patient consultations. BMJ. 389. r663–r663. 3 indexed citations
3.
Stokel-Walker, Chris. (2025). Artificial intelligence in medicine: How do experts think AI could transform the NHS?. BMJ. 388. r248–r248. 1 indexed citations
4.
Stokel-Walker, Chris. (2025). People are starting to trust AI more. The New Scientist. 265(3531). 18–18.
5.
Stokel-Walker, Chris, et al.. (2024). Lucy Letby case: what happens now?. BMJ. 387. q2112–q2112. 1 indexed citations
6.
Stokel-Walker, Chris. (2024). How patients are using AI. BMJ. 387. q2393–q2393. 2 indexed citations
7.
Stokel-Walker, Chris. (2024). Deepfakes and doctors: How people are being fooled by social media scams. BMJ. 386. q1319–q1319. 3 indexed citations
8.
Stokel-Walker, Chris, et al.. (2023). Voices from the picket lines: junior doctors speak out. BMJ. 380. p598–p598. 1 indexed citations
9.
Stokel-Walker, Chris. (2023). What can be done to ease today’s pressures in the NHS?. BMJ. 380. p88–p88. 1 indexed citations
10.
Stokel-Walker, Chris, et al.. (2023). What do we know about the adaptive immune response to covid-19?. BMJ. 380. p19–p19. 3 indexed citations
11.
Stokel-Walker, Chris. (2022). How long does SARS-CoV-2 stay in the body?. BMJ. 377. o1555–o1555. 4 indexed citations
12.
Stokel-Walker, Chris, et al.. (2022). Why do NHS hospitals struggle to handle heatwaves?. BMJ. 378. o1772–o1772. 2 indexed citations
13.
Stokel-Walker, Chris. (2022). What do we know about covid vaccines and preventing transmission?. BMJ. 376. o298–o298. 35 indexed citations
14.
Stokel-Walker, Chris. (2022). RIP #medtwitter? What Twitter’s potential collapse could mean for doctors. BMJ. 379. o2834–o2834. 3 indexed citations
15.
Stokel-Walker, Chris, et al.. (2022). How similar is covid-19 to the flu?. BMJ. 379. o2625–o2625. 2 indexed citations
16.
Stokel-Walker, Chris. (2021). Covid-19: Why test and trace will fail without support for self-isolation. BMJ. 372. n327–n327. 6 indexed citations
17.
Stokel-Walker, Chris. (2021). On the road to Recovery—the world’s biggest covid-19 treatment trial. BMJ. 373. n1299–n1299. 3 indexed citations
18.
Stokel-Walker, Chris. (2021). What we know about covid-19 reinfection so far. BMJ. 372. n99–n99. 40 indexed citations
19.
Stokel-Walker, Chris. (2021). How health data have been used during covid-19, and whether the changes are here to stay. BMJ. 372. n681–n681. 2 indexed citations
20.
Stokel-Walker, Chris. (2020). Covid-19: The doctors turned YouTubers. BMJ. 369. m1563–m1563. 15 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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