Daniel Leff

5.7k citations
184 papers · 3.7k · 1 hit paper · h-index 31

Impact in

Papers in

Daniel Leff

170 papers receiving 3.6k citations

Daniel Leff's Hit Papers

From Wearable Sensors to Smart Implants-–Toward Pervasive and Personalized Healthcare 2015 · 297 citations
2970+3+7Years since publication50100150200250

Peers

Daniel Leff
Comparison fields: 5 of 165
  • Radiology, Nuclear Medicine and Imaging 852
  • Surgery 898
  • Cognitive Neuroscience 410
  • Biomedical Engineering 946
  • Cancer Research 262
Replace Neil A. Martin with:
Neil A. Martin United States
Carsten Thomsen Denmark
Neil Kitchen United Kingdom
Andrew M. Demchuk Canada
Norbert Hosten Germany
Cai Grau Denmark
David M. Yousem United States
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Citations per field
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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

Showing the 20 most-cited of 184 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010394
2
From Wearable Sensors to Smart Implants-–Toward Pervasive and Personalized Healthcare
Hit paper breakdown →
2015297
3 2007208
4 2016179
5 2017167
6 2010130
7 2014112
8 2007104
9 201075
10 202266
11 200860
12 200859
13 202057
14 202156
15 200754
16 201546
17 201744
18 201541
19 200740
20 201838

About Daniel Leff

Daniel Leff is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Cancer Research, Biomedical Engineering and Pathology and Forensic Medicine, having authored 184 papers that have together received 3.7k indexed citations. Recurring topics across this work include Optical Imaging and Spectroscopy Techniques (26 papers), Breast Cancer Treatment Studies (25 papers), Breast Implant and Reconstruction (20 papers), Surgical Simulation and Training (19 papers), Breast Lesions and Carcinomas (19 papers), Reconstructive Surgery and Microvascular Techniques (7 papers), Global Cancer Incidence and Screening (7 papers) and Cardiac, Anesthesia and Surgical Outcomes (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (852 citations), Surgery (898 citations), Cognitive Neuroscience (410 citations), Biomedical Engineering (946 citations) and Cancer Research (262 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, Henry M. D. Ip, David T. Delpy, Edward St John and Harsimrat Singh. Their work appears in journals such as European Journal of Surgical Oncology, Annals of Surgical Oncology, Annals of Surgery, British journal of surgery and Breast Cancer Research and Treatment.

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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