Daniel Appelbaum

1.3k citations
39 papers · 1k · h-index 15

Impact in

Papers in

Daniel Appelbaum

35 papers receiving 1k citations

Peers

Daniel Appelbaum
Comparison fields: 5 of 68
  • Health Informatics 50
  • Radiology, Nuclear Medicine and Imaging 432
  • Pulmonary and Respiratory Medicine 320
  • Oncology 83
  • Cancer Research 49
Replace Axel Wetter with:
Axel Wetter Germany
Giuseppe Lucio Cascini Italy
Miguel Hernandez Pampaloni United States
Chuanmiao Xie China
Shingo Baba Japan
Pierpaolo Alongi Italy
Kotaro Yoshida Japan
Ilhan Lim South Korea
Pim de Graaf Netherlands
Markus Nowak Lonsdale Denmark
Daniel Appelbaum relative to Axel Wetter Germany Axel Wetter's profile →
Citations per field
00.5×2×2.7×
Axel Wetter · 1×
Citations per year

Countries citing papers authored by Daniel Appelbaum

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Appelbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Appelbaum, 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 Appelbaum Line = papers co-authored together Daniel Appelbaum links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011255
2 2011158
3 201096
4 200791
5 201248
6 201343
7
Integrating PET and CT information to improve diagnostic accuracy for lung nodules: A semiautomatic computer-aided method.
200639
8 201235
9 200829
10 201029
11 200626
12 201523
13 201520
14 202117
15 201815
16 201014
17 200711
18 20039
19 20239
20 20108

About Daniel Appelbaum

Daniel Appelbaum is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Internal Medicine, Oncology and Neurology, having authored 39 papers that have together received 1k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (10 papers), Medical Imaging Techniques and Applications (9 papers), CAR-T cell therapy research (3 papers), Pituitary Gland Disorders and Treatments (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Radiology practices and education (2 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers). The work is most often cited by research in Health Informatics (50 citations), Radiology, Nuclear Medicine and Imaging (432 citations), Pulmonary and Respiratory Medicine (320 citations), Oncology (83 citations) and Cancer Research (49 citations). Daniel Appelbaum has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Yonglin Pu, Junji Shiraishi, Kunio Doi, Qiang Li, Kristen Wroblewski, Bill C. Penney, Cassie A. Simon, Ravi Salgia, Chin-Tu Chen and Sheng Chen. Their work appears in journals such as Academic Radiology, Acta Radiologica, European Journal of Nuclear Medicine and Molecular Imaging, Journal of Imaging Informatics in Medicine and International Journal of Computer Assisted Radiology and Surgery.

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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