C. Daniel Johnson

881 total citations
9 papers, 635 citations indexed

About

C. Daniel Johnson is a scholar working on Oncology, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, C. Daniel Johnson has authored 9 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Surgery and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in C. Daniel Johnson's work include Colorectal Cancer Screening and Detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Pancreatic and Hepatic Oncology Research (1 paper). C. Daniel Johnson is often cited by papers focused on Colorectal Cancer Screening and Detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Pancreatic and Hepatic Oncology Research (1 paper). C. Daniel Johnson collaborates with scholars based in United States and Canada. C. Daniel Johnson's co-authors include Amy K. Hara, Robert L. MacCarty, Timothy J. Welch, James D. Malley, Ronald M. Summers, Ashraf M. Youssef, Judd E. Reed, William S. Harmsen, C McCollough and Mark E. Baker and has published in prestigious journals such as Radiology, Radiographics and Patient Education and Counseling.

In The Last Decade

C. Daniel Johnson

9 papers receiving 617 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
C. Daniel Johnson United States 6 488 245 217 153 72 9 635
Kenichi Takeda Japan 9 433 0.9× 235 1.0× 252 1.2× 155 1.0× 35 0.5× 21 575
Geetanjali A. Akerkar United States 6 640 1.3× 182 0.7× 310 1.4× 223 1.5× 22 0.3× 7 759
Philippe Lefere Belgium 16 817 1.7× 337 1.4× 361 1.7× 280 1.8× 26 0.4× 37 951
James Perumpillichira United States 10 276 0.6× 119 0.5× 128 0.6× 104 0.7× 35 0.5× 15 387
Raymond K. Hung United States 6 639 1.3× 182 0.7× 322 1.5× 200 1.3× 22 0.3× 9 695
Marc J. Homer United States 13 144 0.3× 166 0.7× 73 0.3× 137 0.9× 56 0.8× 31 624
Inku Hwang United States 7 1.4k 3.0× 364 1.5× 788 3.6× 507 3.3× 72 1.0× 12 1.7k
Peter J. Rossi United States 17 70 0.1× 264 1.1× 494 2.3× 97 0.6× 90 1.3× 64 778
Naoto Tamai Japan 17 474 1.0× 134 0.5× 516 2.4× 282 1.8× 12 0.2× 60 721
Ayso H. de Vries Netherlands 13 370 0.8× 115 0.5× 181 0.8× 109 0.7× 22 0.3× 20 404

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-authorship network of co-authors of C. Daniel Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of C. Daniel Johnson. A scholar is included among the top collaborators of C. Daniel Johnson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. Daniel Johnson. C. Daniel Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Blydt‐Hansen, Tom, Allison Cammer, Aviva Goldberg, et al.. (2024). Exploring the ability of ChatGPT to create quality patient education resources about kidney transplant. Patient Education and Counseling. 129. 108400–108400. 4 indexed citations
2.
Johnson, C. Daniel, et al.. (2023). Strategies for improving colorectal cancer detection with routine computed tomography. Abdominal Radiology. 48(6). 1891–1899. 2 indexed citations
3.
Nehra, Avinash, Shannon P. Sheedy, C. Daniel Johnson, et al.. (2022). Imaging Review of Gastrointestinal Motility Disorders. Radiographics. 42(7). 2014–2036. 6 indexed citations
4.
Johnson, C. Daniel, et al.. (2020). Adult attention deficit hyperactivity disorder clinic: An interprofessional collaboration. Journal of the American Pharmacists Association. 60(5). S113–S117. 5 indexed citations
5.
Hara, Amy K., C. Daniel Johnson, Robert L. MacCarty, et al.. (2001). CT Colonography: Single- versus Multi–Detector Row Imaging. Radiology. 219(2). 461–465. 121 indexed citations
6.
Summers, Ronald M., et al.. (2001). Automated Polyp Detection at CT Colonography: Feasibility Assessment in a Human Population. Radiology. 219(1). 51–59. 198 indexed citations
7.
Hara, Amy K., C. Daniel Johnson, Robert L. MacCarty, & Timothy J. Welch. (2000). Incidental Extracolonic Findings at CT Colonography. Radiology. 215(2). 353–357. 256 indexed citations
8.
Johnson, C. Daniel, et al.. (1993). MRI of Pancreatic Islet Cell Carcinoma. Journal of Computer Assisted Tomography. 17(5). 735–740. 21 indexed citations
9.
Johnson, C. Daniel, Mark E. Baker, & N. Reed Dunnick. (1985). CT Demonstration of an Adrenal Pseudocyst. Journal of Computer Assisted Tomography. 9(4). 817–819. 22 indexed citations

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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