Daniel Shegogue

630 total citations
9 papers, 557 citations indexed

About

Daniel Shegogue is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Daniel Shegogue has authored 9 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 2 papers in Genetics. Recurrent topics in Daniel Shegogue's work include Connective Tissue Growth Factor Research (3 papers), Systemic Sclerosis and Related Diseases (3 papers) and Dermatological and Skeletal Disorders (2 papers). Daniel Shegogue is often cited by papers focused on Connective Tissue Growth Factor Research (3 papers), Systemic Sclerosis and Related Diseases (3 papers) and Dermatological and Skeletal Disorders (2 papers). Daniel Shegogue collaborates with scholars based in United States and Japan. Daniel Shegogue's co-authors include Maria Trojanowska, Edwin A. Smith, Gary R. Grotendorst, M Markiewicz, Debra J. Hazen‐Martin, Paul J. McDermott, Eddie L. Greene, W. Jim Zheng, Jacek Bielawski and Lina M. Obeid and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and Journal of Investigative Dermatology.

In The Last Decade

Daniel Shegogue

9 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Shegogue United States	8	349	86	83	63	56	9	557
Sharada L. Truter United States	10	353 1.0×	65 0.8×	64 0.8×	33 0.5×	56 1.0×	23	725
Óscar Busnadiego Spain	12	309 0.9×	105 1.2×	86 1.0×	39 0.6×	195 3.5×	12	761
Alexandru‐Emil Matei Germany	12	271 0.8×	169 2.0×	89 1.1×	78 1.2×	159 2.8×	27	730
Udo Siebolts Germany	16	289 0.8×	109 1.3×	28 0.3×	64 1.0×	91 1.6×	61	797
Yaw-Ching Yang United States	6	520 1.5×	68 0.8×	62 0.7×	8 0.1×	70 1.3×	9	693
Barbora Šumová Czechia	12	306 0.9×	179 2.1×	33 0.4×	75 1.2×	169 3.0×	14	711
Toichiro Takizawa Japan	5	349 1.0×	86 1.0×	44 0.5×	17 0.3×	280 5.0×	8	625
Denisa S. Melichian United States	6	332 1.0×	326 3.8×	63 0.8×	126 2.0×	180 3.2×	7	723
Douglas K. Brees United States	6	261 0.7×	27 0.3×	117 1.4×	9 0.1×	45 0.8×	8	478
Kimihiro Tanaka Japan	12	228 0.7×	57 0.7×	34 0.4×	33 0.5×	106 1.9×	51	530

Countries citing papers authored by Daniel Shegogue

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Shegogue

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Shegogue. A scholar is included among the top collaborators of Daniel Shegogue 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 Daniel Shegogue. Daniel Shegogue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Shegogue, Daniel & W. Jim Zheng. (2005). Integration of the Gene Ontology into an object-oriented architecture. BMC Bioinformatics. 6(1). 113–113. 20 indexed citations

Shegogue, Daniel & W. Jim Zheng. (2005). Object-oriented biological system integration: a SARS coronavirus example. Bioinformatics. 21(10). 2502–2509. 9 indexed citations

Yamanaka, Masayoshi, Daniel Shegogue, Shizhong Bu, et al.. (2004). Sphingosine Kinase 1 (SPHK1) Is Induced by Transforming Growth Factor-β and Mediates TIMP-1 Up-regulation. Journal of Biological Chemistry. 279(52). 53994–54001. 130 indexed citations

Shegogue, Daniel & Maria Trojanowska. (2004). Mammalian Target of Rapamycin Positively Regulates Collagen Type I Production via a Phosphatidylinositol 3-Kinase-independent Pathway. Journal of Biological Chemistry. 279(22). 23166–23175. 106 indexed citations

Shegogue, Daniel, et al.. (2004). Lysophosphatidic acid inhibits TGF-β-mediated stimulation of type I collagen mRNA stability via an ERK-dependent pathway in dermal fibroblasts. Matrix Biology. 23(6). 353–361. 28 indexed citations

Shegogue, Daniel, et al.. (2004). Capturing biological information with class–responsibility–collaboration cards. Bioinformatics. 21(3). 415–417. 3 indexed citations

Shegogue, Daniel, et al.. (2002). Role of p38 MAPK in Transforming Growth Factor β Stimulation of Collagen Production by Scleroderma and Healthy Dermal Fibroblasts. Journal of Investigative Dermatology. 118(4). 704–711. 100 indexed citations

Shegogue, Daniel, M Markiewicz, Debra J. Hazen‐Martin, et al.. (2002). TGF-β and CTGF have overlapping and distinct fibrogenic effects on human renal cells. American Journal of Physiology-Renal Physiology. 283(4). F707–F716. 133 indexed citations

Czuwara-Ladykowska, Joanna, et al.. (2001). Differential regulation of transforming growth factor-beta receptors type I and II by platelet-derived growth factor in human dermal fibroblasts. British Journal of Dermatology. 145(4). 569–575. 28 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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