Daniel Shegogue
Impact in
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
- Dermatology top 10%
- Dermatologic Treatments and Research
Papers in
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- Connective Tissue Growth Factor Research 2
- Protein Kinase Regulation and GTPase Signaling 2
- Kruppel-like factors research 1
- Biomedical Text Mining and Ontologies 1
-
- Systemic Sclerosis and Related Diseases 3
- Co-authors
- Maria Trojanowska (6 shared papers)Edwin A. Smith (2 shared papers)Debra J. Hazen‐Martin (1 shared paper)Gary R. Grotendorst (1 shared paper)W. Jim Zheng (2 shared papers)Eddie L. Greene (1 shared paper)Paul J. McDermott (1 shared paper)M Markiewicz (1 shared paper)
- Journals
- Bioinformatics (2 papers)Journal of Biological Chemistry (2 papers)American Journal of Physiology-Renal Physiology (1 paper)British Journal of Dermatology (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Daniel Shegogue
9 papers receiving 566 citations
Peers
Comparison fields: 5 of 74
- Nephrology 43
- Dermatology 53
- Transplantation 13
- Cell Biology 79
- Pathology and Forensic Medicine 79
Countries citing papers authored by Daniel Shegogue
This map shows the geographic impact of Daniel Shegogue'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 Shegogue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Shegogue more than expected).
Fields of papers citing papers by Daniel Shegogue
This network shows the impact of papers produced by Daniel Shegogue. 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 Shegogue. The network helps show where Daniel Shegogue may publish in the future.
Co-authors
The 18 scholars most cited alongside Daniel Shegogue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 138 | |
| 2 | 2004 | 134 | |
| 3 | 2004 | 114 | |
| 4 | 2002 | 103 | |
| 5 | 2004 | 29 | |
| 6 | 2001 | 28 | |
| 7 | 2005 | 23 | |
| 8 | 2005 | 10 | |
| 9 | 2004 | 3 |
About Daniel Shegogue
Daniel Shegogue is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Urology, Rheumatology and Cell Biology, having authored 9 papers that have together received 582 indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (3 papers), Connective Tissue Growth Factor Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Kruppel-like factors research (1 paper), Biomedical Text Mining and Ontologies (1 paper), Cell Adhesion Molecules Research (1 paper), Dermatological and Skeletal Disorders (1 paper) and Polysaccharides and Plant Cell Walls (1 paper). The work is most often cited by research in Nephrology (43 citations), Dermatology (53 citations), Transplantation (13 citations), Cell Biology (79 citations) and Pathology and Forensic Medicine (79 citations). Daniel Shegogue has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Maria Trojanowska, Edwin A. Smith, Debra J. Hazen‐Martin, Gary R. Grotendorst, W. Jim Zheng, Eddie L. Greene, Paul J. McDermott, M Markiewicz, Jacek Bielawski and Yusuf A. Hannun. Their work appears in journals such as Bioinformatics, Journal of Biological Chemistry, American Journal of Physiology-Renal Physiology, British Journal of Dermatology and BMC Bioinformatics.
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.