C. Daniel Johnson

881 citations
9 papers · 635 · h-index 6

Impact in

Papers in

    • Colorectal Cancer Screening and Detection 4
    • Colorectal Cancer Surgical Treatments 1
    • Pancreatic function and diabetes 1

C. Daniel Johnson

9 papers receiving 617 citations

Peers

C. Daniel Johnson
Comparison fields: 5 of 59
  • Oncology 488
  • Radiology, Nuclear Medicine and Imaging 245
  • Pulmonary and Respiratory Medicine 217
  • Pathology and Forensic Medicine 67
  • Computer Vision and Pattern Recognition 72
Replace Geetanjali A. Akerkar with:
Geetanjali A. Akerkar United States
Philippe Lefere Belgium
Adeline Louie United States
James Perumpillichira United States
Raymond K. Hung United States
Chae‐Seon Hong South Korea
Kenichi Takeda Japan
Ayso H. de Vries Netherlands
Yoshioki Yoda Japan
Lynn A. Wilson United States
C. Daniel Johnson relative to Geetanjali A. Akerkar United States Geetanjali A. Akerkar's profile →
Citations per field
00.5×
Geetanjali A. Akerkar · 1×
Citations per year

Countries citing papers authored by C. Daniel Johnson

Since Specialization
Citations

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

Fields of papers citing papers by C. Daniel Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2000256
2 2001198
3 2001121
4 198522
5 199321
6 20226
7 20205
8 20244
9 20232

About C. Daniel Johnson

C. Daniel Johnson is a scholar working on Oncology, Surgery, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health, having authored 9 papers that have together received 635 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Colorectal Cancer Surgical Treatments (1 paper), Attention Deficit Hyperactivity Disorder (1 paper), Behavioral and Psychological Studies (1 paper), Pancreatic function and diabetes (1 paper), Genetic factors in colorectal cancer (1 paper) and Gastrointestinal motility and disorders (1 paper). The work is most often cited by research in Oncology (488 citations), Radiology, Nuclear Medicine and Imaging (245 citations), Pulmonary and Respiratory Medicine (217 citations), Pathology and Forensic Medicine (67 citations) and Computer Vision and Pattern Recognition (72 citations). C. Daniel Johnson has collaborated with scholars based in United States and Canada. Frequent co-authors include Amy K. Hara, Timothy J. Welch, Robert L. MacCarty, Judd E. Reed, James D. Malley, Ashraf M. Youssef, Ronald M. Summers, C McCollough, William S. Harmsen and Mark E. Baker. Their work appears in journals such as Radiology, Journal of Computer Assisted Tomography, Abdominal Radiology, Journal of the American Pharmacists Association and Patient Education and Counseling.

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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