James Kinross

22.1k total citations · 6 hit papers
165 papers, 12.6k citations indexed

About

James Kinross is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, James Kinross has authored 165 papers receiving a total of 12.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 56 papers in Surgery and 46 papers in Oncology. Recurrent topics in James Kinross's work include Gut microbiota and health (28 papers), Metabolomics and Mass Spectrometry Studies (25 papers) and Surgical Simulation and Training (20 papers). James Kinross is often cited by papers focused on Gut microbiota and health (28 papers), Metabolomics and Mass Spectrometry Studies (25 papers) and Surgical Simulation and Training (20 papers). James Kinross collaborates with scholars based in United Kingdom, United States and Netherlands. James Kinross's co-authors include Jeremy K. Nicholson, Elaine Holmes, Glenn R. Gibson, Rémy Burcelin, Sven Pettersson, Wei Jia, Ara Darzi, Julian R. Marchesi, James L. Alexander and Zoltán Takáts and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

James Kinross

157 papers receiving 12.3k citations

Hit Papers

Host-Gut Microbiota Metabolic Interactions 2011 2026 2016 2021 2012 2015 2017 2011 2013 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Kinross United Kingdom 45 7.1k 2.4k 2.0k 1.5k 1.2k 165 12.6k
Yulan Wang China 71 9.9k 1.4× 2.5k 1.0× 770 0.4× 935 0.6× 739 0.6× 429 17.2k
Thomas Härtung Germany 81 6.6k 0.9× 1.6k 0.7× 883 0.4× 1.1k 0.7× 1.9k 1.6× 520 25.0k
Jie Wang China 67 10.0k 1.4× 1.3k 0.5× 1.7k 0.9× 1.6k 1.1× 1.3k 1.0× 1.2k 23.5k
Joseph A. DiDonato United States 56 12.2k 1.7× 5.0k 2.1× 2.0k 1.0× 2.4k 1.6× 1.2k 0.9× 113 22.7k
Uwe Völker Germany 64 8.1k 1.1× 917 0.4× 1.0k 0.5× 956 0.6× 1.6k 1.3× 426 14.6k
Maikel P. Peppelenbosch Netherlands 79 9.4k 1.3× 1.4k 0.6× 2.9k 1.5× 3.8k 2.5× 1.9k 1.5× 531 22.1k
Daisy Jonkers Netherlands 55 6.4k 0.9× 2.7k 1.1× 2.5k 1.2× 938 0.6× 1.4k 1.1× 238 13.1k
Gerard Dijkstra Netherlands 56 5.3k 0.7× 1.7k 0.7× 3.0k 1.5× 1.3k 0.9× 1.8k 1.4× 314 14.4k
David W. Thomas United Kingdom 67 5.3k 0.7× 867 0.4× 2.1k 1.1× 895 0.6× 631 0.5× 408 17.2k
Alexandra Zhernakova Netherlands 59 8.7k 1.2× 3.2k 1.3× 1.9k 1.0× 863 0.6× 1.8k 1.5× 158 15.4k

Countries citing papers authored by James Kinross

Since Specialization
Citations

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

Fields of papers citing papers by James Kinross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Kinross

This figure shows the co-authorship network connecting the top 25 collaborators of James Kinross. A scholar is included among the top collaborators of James Kinross 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 James Kinross. James Kinross 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.
Chen, Wei, Raquel Mejías‐Luque, Klaus‐Peter Janssen, et al.. (2025). Universal, untargeted detection of bacteria in tissues using metabolomics workflows. Nature Communications. 16(1). 165–165. 2 indexed citations
3.
Abdelaziz, Mohamed E. M. K., Bruno M. G. Rosa, Hyun‐Taek Lee, et al.. (2024). Fiberbots: Robotic fibers for high-precision minimally invasive surgery. Science Advances. 10(3). eadj1984–eadj1984. 28 indexed citations
5.
Lam, Kyle, Scarlet Nazarian, Sherif Hakky, et al.. (2022). Patient perspectives on surgeon-specific outcome reports in bariatric surgery. Surgery for Obesity and Related Diseases. 18(6). 704–713. 1 indexed citations
6.
Lam, Kyle, Frank P.-W. Lo, Ara Darzi, et al.. (2022). Deep Learning for Instrument Detection and Assessment of Operative Skill in Surgical Videos. IEEE Transactions on Medical Robotics and Bionics. 4(4). 1068–1071. 8 indexed citations
7.
Martin, Guy, et al.. (2022). Using Mixed Reality Headsets to Deliver Remote Bedside Teaching During the COVID-19 Pandemic: Feasibility Trial of HoloLens 2. JMIR Formative Research. 6(5). e35674–e35674. 19 indexed citations
8.
Rabinowicz, Simon, Guy Martin, Sheraz R. Markar, et al.. (2021). Using a Secure, Continually Updating, Web Source Processing Pipeline to Support the Real-Time Data Synthesis and Analysis of Scientific Literature: Development and Validation Study. Journal of Medical Internet Research. 23(5). e25714–e25714. 4 indexed citations
9.
Mason, Sam, Lauren Ford, Zsolt Bodai, et al.. (2021). Validation of Ultrasonic Harmonic Scalpel for Real-Time Tissue Identification Using Rapid Evaporative Ionization Mass Spectrometry. Analytical Chemistry. 93(14). 5906–5916. 21 indexed citations
10.
Jiménez, Beatriz, Panagiotis Drymousis, Michael Kyriakides, et al.. (2021). Neuroendocrine Neoplasms: Identification of Novel Metabolic Circuits of Potential Diagnostic Utility. Cancers. 13(3). 374–374. 3 indexed citations
11.
Kinross, James, Guy Martin, Louis Koizia, et al.. (2021). A remote access mixed reality teaching ward round. The Clinical Teacher. 18(4). 386–390. 39 indexed citations
13.
Qiu, Shengyang, Stella Nikolaou, Jie Zhu, et al.. (2020). Characterisation of the Expression of Neurotensin and Its Receptors in Human Colorectal Cancer and Its Clinical Implications. Biomolecules. 10(8). 1145–1145. 8 indexed citations
14.
Martin, Guy, Louis Koizia, Angad S. Kooner, et al.. (2020). Use of the HoloLens2 Mixed Reality Headset for Protecting Health Care Workers During the COVID-19 Pandemic: Prospective, Observational Evaluation. Journal of Medical Internet Research. 22(8). e21486–e21486. 49 indexed citations
15.
Denning, Max, Ee Teng Goh, Alasdair Scott, et al.. (2020). What Has Been the Impact of Covid-19 on Safety Culture? A Case Study from a Large Metropolitan Healthcare Trust. International Journal of Environmental Research and Public Health. 17(19). 7034–7034. 51 indexed citations
16.
Clarke, Jonathan, Alice Murray, Sheraz R. Markar, Mauricio Barahona, & James Kinross. (2020). New geographic model of care to manage the post-COVID-19 elective surgery aftershock in England: a retrospective observational study. BMJ Open. 10(10). e042392–e042392. 14 indexed citations
17.
Aggarwal, Ravi, et al.. (2019). Initial Experience With a New Robotic Surgical System for Cholecystectomy. Surgical Innovation. 27(2). 136–142. 20 indexed citations
18.
Scott, Alasdair, James L. Alexander, Claire A Merrifield, et al.. (2019). International Cancer Microbiome Consortium consensus statement on the role of the human microbiome in carcinogenesis. Gut. 68(9). 1624–1632. 195 indexed citations
19.
Pawa, Nikhil, Ashley Kieran Clift, Panagiotis Drymousis, et al.. (2017). Surgical Management of Patients with Neuroendocrine Neoplasms of the Appendix: Appendectomy or More. Neuroendocrinology. 106(3). 242–251. 70 indexed citations
20.
Inglese, Paolo, James S. McKenzie, Anna Mróz, et al.. (2017). Deep learning and 3D-DESI imaging reveal the hidden metabolic heterogeneity of cancer. Chemical Science. 8(5). 3500–3511. 110 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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