Benjamin Wang

13 papers receiving 552 citations

Peers

Benjamin Wang
Comparison fields: 5 of 52
  • Rheumatology 211
  • Health Informatics 16
  • Immunology 67
  • Physiology 75
  • Genetics 77
Replace Michael J. Murphy with:
Michael J. Murphy United States
Judith Rademacher Germany
Einat Slonimsky United States
Gaston Roustan-Gullón Spain
Venkatraman S Bhat India
Marco Allinovi Italy
Quan Li China
Pablo Boixeda Spain
Borja Gracia-Tello Spain
Valeria Ríos Rodríguez Germany
Benjamin Wang relative to Michael J. Murphy United States Michael J. Murphy's profile →
Citations per field
00.5×2×4×6×7.5×
Michael J. Murphy · 1×
Citations per year

Countries citing papers authored by Benjamin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2002358
2 201978
3 201542
4 202034
5
Interstitial lung disease in patients with mixed connective tissue disease: pilot study on predictors of lung involvement.
201823
6 201120
7 201618
8 20116
9 20223
10 20172
11 20231
12 20241
13 20251
14 20240

About Benjamin Wang

Benjamin Wang is a scholar working on Physiology, Rheumatology, Pathology and Forensic Medicine, Computer Vision and Pattern Recognition and Periodontics, having authored 14 papers that have together received 587 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Medical Imaging and Analysis (2 papers), Medical Image Segmentation Techniques (2 papers), Systemic Sclerosis and Related Diseases (1 paper), Body Composition Measurement Techniques (1 paper), Bone health and treatments (1 paper), Alzheimer's disease research and treatments (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Rheumatology (211 citations), Health Informatics (16 citations), Immunology (67 citations), Physiology (75 citations) and Genetics (77 citations). Benjamin Wang has collaborated with scholars based in United States, Netherlands and Colombia. Frequent co-authors include Carrie L. Wagner, Edward Clark Keystone, Adedigbo A. Fasanmade, Arthur Kavanaugh, E. William St. Clair, Thomas F. Schaible, Martin Torriani, Colleen G. Buckless, Robert Hemke and Andy Abril. Their work appears in journals such as Skeletal Radiology, Journal of the American Geriatrics Society, Blood, Neurobiology of Aging and The American Journal of Medicine.

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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