Daniel Leff

5.7k citations
182 papers · 3.5k indexed · h-index 30

Impact in

Papers in

Daniel Leff

170 papers receiving 3.4k citations

Peers

Daniel Leff
Comparison fields: 5 of 167
  • Radiology, Nuclear Medicine and Imaging 992
  • Cancer Research 389
  • Surgery 1.1k
  • Biomedical Engineering 1.1k
  • Cognitive Neuroscience 445
Replace Florian Zeman with:
Florian Zeman Germany
Karl Schaller Switzerland
Neil A. Martin United States
Carsten Thomsen Denmark
Jay Mandrekar United States
Bruno Beomonte Zobel Italy
Andrew M. Demchuk Canada
Cai Grau Denmark
Matthew J. McGirt United States
Alessia Bramanti Italy
Daniel Leff relative to Florian Zeman Germany Florian Zeman's profile →
Citations per field
00.5×1.5×
Florian Zeman · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Leff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Leff Line = papers co-authored together Daniel Leff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20249
3 20241
4 20243
5 20243
6 202317
7 20231
8 20223
9 20227
10 202147
11 20213
12 202113
13 202114
14 20212
15 20209
16 201837
17 201216
18 20108
19 200819
20 200729

About Daniel Leff

Daniel Leff is a scholar working on Cancer Research, Radiology, Nuclear Medicine and Imaging, Surgery, Family Practice and Pathology and Forensic Medicine, having authored 182 papers that have together received 3.5k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (37 papers), Breast Implant and Reconstruction (29 papers), Optical Imaging and Spectroscopy Techniques (28 papers), Surgical Simulation and Training (26 papers), Breast Lesions and Carcinomas (21 papers), Global Cancer Incidence and Screening (16 papers), Cardiac, Anesthesia and Surgical Outcomes (15 papers) and Reconstructive Surgery and Microvascular Techniques (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (992 citations), Cancer Research (389 citations), Surgery (1.1k citations), Biomedical Engineering (1.1k citations) and Cognitive Neuroscience (445 citations). Daniel Leff has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent 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. Their work appears in journals such as European Journal of Surgical Oncology, Annals of Surgical Oncology, British journal of surgery, Annals of Surgery and NeuroImage.

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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