Martin Rees

1.6k total citations · 3 hit papers
17 papers, 973 citations indexed

About

Martin Rees is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Martin Rees has authored 17 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Surgery. Recurrent topics in Martin Rees's work include Cardiac Imaging and Diagnostics (5 papers), Single-cell and spatial transcriptomics (3 papers) and Advanced MRI Techniques and Applications (3 papers). Martin Rees is often cited by papers focused on Cardiac Imaging and Diagnostics (5 papers), Single-cell and spatial transcriptomics (3 papers) and Advanced MRI Techniques and Applications (3 papers). Martin Rees collaborates with scholars based in United Kingdom, Germany and United States. Martin Rees's co-authors include Tobias Anzeneder, Bernd Bodenmiller, Claus Langwieder, Johanna Wagner, Natalie de Souza, Sandra Tietscher, Annette Ramaswamy, Maria Anna Rapsomaniki, Simone Muenst and Savas D. Soysal and has published in prestigious journals such as Cell, Nature Communications and Journal of the American Medical Informatics Association.

In The Last Decade

Martin Rees

17 papers receiving 961 citations

Hit Papers

A Single-Cell Atlas of the Tumor and Immune Ecosystem of ... 2019 2026 2021 2023 2019 2023 2023 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
Martin Rees United Kingdom 11 490 460 338 230 111 17 973
Gregor Sturm Austria 11 421 0.9× 541 1.2× 404 1.2× 308 1.3× 308 2.8× 23 1.1k
Wah Siew Tan Singapore 7 414 0.8× 497 1.1× 159 0.5× 310 1.3× 71 0.6× 11 816
Jon Zugazagoitia Spain 20 1.1k 2.3× 370 0.8× 436 1.3× 172 0.7× 556 5.0× 74 1.6k
Marzia Locatelli Italy 17 757 1.5× 329 0.7× 151 0.4× 535 2.3× 221 2.0× 36 1.2k
Amanda Eustace United Kingdom 10 119 0.2× 290 0.6× 132 0.4× 317 1.4× 173 1.6× 11 713
Rilan Bai China 13 567 1.2× 240 0.5× 306 0.9× 171 0.7× 247 2.2× 36 920
Enzo Mammano Italy 18 414 0.8× 470 1.0× 82 0.2× 203 0.9× 173 1.6× 31 1.0k
Laura Medri Italy 18 358 0.7× 273 0.6× 83 0.2× 268 1.2× 173 1.6× 34 761
Marieke E. Ijsselsteijn Netherlands 16 305 0.6× 240 0.5× 286 0.8× 74 0.3× 92 0.8× 34 721
Tobias Anzeneder Germany 12 554 1.1× 631 1.4× 349 1.0× 334 1.5× 131 1.2× 18 1.1k

Countries citing papers authored by Martin Rees

Since Specialization
Citations

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

Fields of papers citing papers by Martin Rees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Rees

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

All Works

17 of 17 papers shown
1.
Cords, Lena, Sandra Tietscher, Tobias Anzeneder, et al.. (2023). Cancer-associated fibroblast classification in single-cell and spatial proteomics data. Nature Communications. 14(1). 4294–4294. 160 indexed citations breakdown →
2.
Tietscher, Sandra, Johanna Wagner, Tobias Anzeneder, et al.. (2023). A comprehensive single-cell map of T cell exhaustion-associated immune environments in human breast cancer. Nature Communications. 14(1). 98–98. 102 indexed citations breakdown →
3.
Castro, Víctor M., Vivian S. Gainer, Nich Wattanasin, et al.. (2021). The Mass General Brigham Biobank Portal: an i2b2-based data repository linking disparate and high-dimensional patient data to support multimodal analytics. Journal of the American Medical Informatics Association. 29(4). 643–651. 33 indexed citations
4.
Wagner, Johanna, Maria Anna Rapsomaniki, Stéphane Chevrier, et al.. (2019). A Single-Cell Atlas of the Tumor and Immune Ecosystem of Human Breast Cancer. Cell. 177(5). 1330–1345.e18. 526 indexed citations breakdown →
6.
Wagholikar, Kavishwar B., Christina Fischer, Martin Rees, et al.. (2018). Extraction of Ejection Fraction from Echocardiography Notes for Constructing a Cohort of Patients having Heart Failure with reduced Ejection Fraction (HFrEF). Journal of Medical Systems. 42(11). 209–209. 17 indexed citations
7.
Kannus, Pekka, David Perry, Martin Rees, Clare O’Donnell, & Salim Aftimos. (2011). Another case of multiple juxtasutural hyperostoses, cervical exostoses, and fatty infiltration of myocardium. American Journal of Medical Genetics Part A. 155(3). 589–594. 1 indexed citations
8.
Hall, D.O., et al.. (2005). The effect of Butterworth and Metz reconstruction filters on volume and ejection fraction calculations with99Tcmgated myocardial SPECT. British Journal of Radiology. 78(932). 733–736. 11 indexed citations
9.
Raffel, Andreas, Kenko Cupisti, Martin Rees, et al.. (2003). Spindle Epithelial Tumour with Thymus-like Differentiation (SETTLE) of the Thyroid Gland with Widespread Metastases in a 13-year-old Girl. Clinical Oncology. 15(8). 490–495. 15 indexed citations
10.
Ståhl, Michael, et al.. (2003). C-myc gene amplification in different stages of oesophageal squamous cell carcinoma: prognostic value in relation to treatment modality.. PubMed. 23(2B). 1489–93. 34 indexed citations
11.
Owonikoko, Taofeek K., Martin Rees, Helmut E. Gabbert, & Mario Sarbia. (2002). Intratumoral Genetic Heterogeneity in Barrett Adenocarcinoma. American Journal of Clinical Pathology. 117(4). 558–566. 29 indexed citations
12.
Rees, Martin, et al.. (2001). The use of gated perfusion scanning in the assessment of left ventricular volume. European Journal of Radiology. 38(3). 200–204. 1 indexed citations
13.
Oxtoby, J, et al.. (1995). Femoral angiography using the reverse shuffle technique. British Journal of Radiology. 68(813). 1014–1016. 1 indexed citations
14.
Sivananthan, U. M., et al.. (1993). Fast magnetic resonance angiography using turbo-FLASH sequences in advanced aortoiliac disease. British Journal of Radiology. 66(792). 1103–1110. 19 indexed citations
15.
Rees, Martin, et al.. (1993). A comparison of methods for estimating left ventricular volumes from radionuclide ventriculography. Physiological Measurement. 14(1). 23–32. 2 indexed citations
16.
Scott, P. J., Duncan F. Ettles, Martin Rees, & G. Williams. (1990). The use of combined transoesophageal echocardiography and fluroscopy in the biopsy of a right atrial mass. British Journal of Radiology. 63(747). 222–224. 12 indexed citations
17.
Rees, Martin, Robert G. Haennel, William R. Black, & Tissa Kappagoda. (1990). Effect of rate-adapting atrioventricular delay on stroke volume and cardiac output during atrial synchronous pacing.. PubMed. 6(10). 445–52. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026