Daniel Leff

5.7k total citations
182 papers, 3.5k citations indexed

About

Daniel Leff is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Daniel Leff has authored 182 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Surgery, 46 papers in Radiology, Nuclear Medicine and Imaging and 38 papers in Cancer Research. Recurrent topics in Daniel Leff's work include Breast Cancer Treatment Studies (37 papers), Breast Implant and Reconstruction (29 papers) and Optical Imaging and Spectroscopy Techniques (28 papers). Daniel Leff is often cited by papers focused on Breast Cancer Treatment Studies (37 papers), Breast Implant and Reconstruction (29 papers) and Optical Imaging and Spectroscopy Techniques (28 papers). Daniel Leff collaborates with scholars based in United Kingdom, United States and Mexico. Daniel Leff's co-authors include Ara Darzi, Guang‐Zhong Yang, Felipe Orihuela‐Espina, Thanos Athanasiou, Javier Andreu-Pérez, Clare E. Elwell, David T. Delpy, Henry M. D. Ip, Edward St John and Dimitri Hadjiminas and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Daniel Leff

170 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Leff United Kingdom 30 1.1k 1.1k 992 458 445 182 3.5k
Florian Zeman Germany 39 2.3k 2.0× 767 0.7× 733 0.7× 742 1.6× 493 1.1× 373 7.2k
Carsten Thomsen Denmark 43 829 0.7× 724 0.7× 1.6k 1.6× 906 2.0× 430 1.0× 152 5.7k
Marike L. D. Broekman Netherlands 42 916 0.8× 968 0.9× 491 0.5× 241 0.5× 124 0.3× 218 6.3k
Steven Cen United States 35 494 0.4× 688 0.6× 1.1k 1.1× 263 0.6× 298 0.7× 198 5.4k
Akio Kimura Japan 40 811 0.7× 1.0k 1.0× 393 0.4× 466 1.0× 1.0k 2.3× 388 6.9k
Michael T. Lawton United States 68 1.8k 1.6× 567 0.5× 803 0.8× 684 1.5× 281 0.6× 513 16.6k
N Heussen Germany 41 762 0.7× 480 0.4× 1.1k 1.1× 937 2.0× 123 0.3× 154 5.4k
Jeffrey V. Rosenfeld Australia 52 1.3k 1.2× 354 0.3× 510 0.5× 222 0.5× 820 1.8× 242 10.7k
Irene Schmidtmann Germany 34 564 0.5× 240 0.2× 726 0.7× 334 0.7× 209 0.5× 265 4.1k
Karl Schaller Switzerland 43 2.0k 1.8× 678 0.6× 507 0.5× 202 0.4× 798 1.8× 228 6.0k

Countries citing papers authored by Daniel Leff

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Leff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Leff

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Leff. A scholar is included among the top collaborators of Daniel Leff 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 Daniel Leff. Daniel Leff 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.
Leff, Daniel & Paul Thiruchelvam. (2025). Symmetrization in therapeutic mammoplasty for breast cancer: si non nunc quandro. British journal of surgery. 112(4). 1 indexed citations
2.
Leff, Daniel. (2024). Technologies and techniques to improve precision in breast conserving surgery. Journal of Surgical Oncology. 131(2). 108–114. 1 indexed citations
3.
Giuliani, Stefano, Irene Paraboschi, Angus McNair, et al.. (2024). Monoclonal Antibodies for Targeted Fluorescence-Guided Surgery: A Review of Applicability across Multiple Solid Tumors. Cancers. 16(5). 1045–1045. 9 indexed citations
4.
Latif, Ahmed, et al.. (2024). Use of commercially available wearable devices for physical rehabilitation in healthcare: a systematic review. BMJ Open. 14(11). e084086–e084086. 3 indexed citations
6.
Leff, Daniel, et al.. (2024). Fluorescence guided surgery imaging systems for breast cancer identification: a systematic review. Journal of Biomedical Optics. 29(3). 30901–30901. 4 indexed citations
7.
Arslan, Salim, Pankita H. Pandya, Sebastián Wolf, et al.. (2023). 1226P Multi-site validation of a deep learning solution for HER2 profiling of breast cancer from H&E-stained pathology slides. Annals of Oncology. 34. S718–S718. 1 indexed citations
8.
Sadati, S. M. Hadi, Hongbin Liu, Sébastien Ourselin, et al.. (2023). Towards a Physics-Based Model for Steerable Eversion Growing Robots. IEEE Robotics and Automation Letters. 8(2). 1005–1012. 17 indexed citations
9.
Elson, Daniel S., et al.. (2022). Guidance in breast-conserving surgery: tumour localizationversusidentification. British journal of surgery. 110(8). 920–922. 3 indexed citations
10.
Thiruchelvam, Paul, Elías Mossialos, Ragheed Al-Mufti, et al.. (2022). Patient-level costs of staged unilateral versus immediate bilateral symmetrization mammoplasty in breast-conserving surgery. BJS Open. 6(3). 7 indexed citations
11.
Berthet-Rayne, Pierre, et al.. (2021). MAMMOBOT: A Miniature Steerable Soft Growing Robot for Early Breast Cancer Detection. IEEE Robotics and Automation Letters. 6(3). 5056–5063. 47 indexed citations
12.
John, Edward St, Elaine Johanson, Dafydd Loughran, et al.. (2021). Assessment of the introduction of semi-digital consent into surgical practice. British journal of surgery. 108(4). 342–345. 13 indexed citations
13.
Lee, Alice, et al.. (2021). Outcome reporting in therapeutic mammaplasty: a systematic review. BJS Open. 5(6). 3 indexed citations
14.
Vidya, Raghavan, Daniel Leff, Stuart McIntosh, et al.. (2021). Innovations for the future of breast surgery. British journal of surgery. 108(8). 908–916. 14 indexed citations
15.
Lee, Alice, Richard M. Kwasnicki, & Daniel Leff. (2021). Outcomes and outcome measures reported in clinical studies of therapeutic mammaplasty: a systematic review protocol. BMJ Open. 11(6). e046438–e046438. 2 indexed citations
16.
Kassanos, Panagiotis, Melissa Berthelot, Jang Ah Kim, et al.. (2020). Smart Sensing for Surgery: From Tethered Devices to Wearables and Implantables. IEEE Systems Man and Cybernetics Magazine. 6(3). 39–48. 9 indexed citations
17.
John, Edward St, David Cunningham, Ragheed Al-Mufti, et al.. (2018). Patient-level costs in margin re-excision for breast-conserving surgery. British journal of surgery. 106(4). 384–394. 37 indexed citations
18.
Andreu-Pérez, Javier, Daniel Leff, Kunal Shetty, Ara Darzi, & Guang‐Zhong Yang. (2016). Disparity in Frontal Lobe Connectivity on a Complex Bimanual Motor Task Aids in Classification of Operator Skill Level. Brain Connectivity. 6(5). 375–388. 37 indexed citations
19.
Leff, Daniel, et al.. (2010). Monitoring of Free Flaps Using Near-Infrared Spectroscopy: A Systematic Review of the Initial Trials. Plastic & Reconstructive Surgery. 125(4). 182e–184e. 8 indexed citations
20.
Leff, Daniel, Oliver Warren, Louise C. Enfield, et al.. (2007). Diffuse optical imaging of the healthy and diseased breast: A systematic review. Breast Cancer Research and Treatment. 108(1). 9–22. 201 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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