D. Morgan

1.3k total citations · 1 hit paper
8 papers, 990 citations indexed

About

D. Morgan is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, D. Morgan has authored 8 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 4 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in D. Morgan's work include Pancreatic function and diabetes (6 papers), Thyroid Disorders and Treatments (2 papers) and Diabetes and associated disorders (2 papers). D. Morgan is often cited by papers focused on Pancreatic function and diabetes (6 papers), Thyroid Disorders and Treatments (2 papers) and Diabetes and associated disorders (2 papers). D. Morgan collaborates with scholars based in Brazil, Ireland and Australia. D. Morgan's co-authors include Rui Curi, Ângelo Rafael Carpinelli, Philip Newsholme, Eduardo Rebelato, J. Procópio, Esther Piltcher Haber, Sandro Massao Hirabara, Aparecida Emiko Hirata, Silvana Bordin and Deirdre Keane and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Physiology and Endocrinology.

In The Last Decade

D. Morgan

8 papers receiving 955 citations

Hit Papers

Diabetes associated cell stress and dysfunction: role of ... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Morgan Brazil 6 435 341 301 280 195 8 990
Eduardo Rebelato Brazil 10 437 1.0× 380 1.1× 306 1.0× 281 1.0× 195 1.0× 13 1.1k
Yoshitaka Nagasawa Japan 13 414 1.0× 304 0.9× 598 2.0× 219 0.8× 201 1.0× 27 1.1k
MASAEI KAKIZAKI Japan 12 309 0.7× 328 1.0× 237 0.8× 308 1.1× 157 0.8× 14 986
Armen V. Gyulkhandanyan Canada 18 415 1.0× 513 1.5× 191 0.6× 234 0.8× 167 0.9× 25 1.2k
Ewa Gurgul-Convey Germany 16 415 1.0× 337 1.0× 212 0.7× 153 0.5× 232 1.2× 33 860
Junji Kawashima Japan 19 422 1.0× 396 1.2× 413 1.4× 355 1.3× 121 0.6× 52 1.2k
Setsuya Sakagashira Japan 12 296 0.7× 344 1.0× 121 0.4× 371 1.3× 125 0.6× 16 883
Maciej Jankowski Poland 18 330 0.8× 438 1.3× 253 0.8× 216 0.8× 67 0.3× 82 1.3k
Jayalakshmi Udayasankar United States 15 609 1.4× 331 1.0× 403 1.3× 407 1.5× 297 1.5× 19 1.2k
R O Scow United States 19 314 0.7× 508 1.5× 457 1.5× 547 2.0× 187 1.0× 36 1.6k

Countries citing papers authored by D. Morgan

Since Specialization
Citations

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

Fields of papers citing papers by D. Morgan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Morgan

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

All Works

8 of 8 papers shown
1.
Alves, Eduardo da Silva, Denise Siqueira de Carvalho, D. Morgan, et al.. (2012). Angiotensin II-induced JNK activation is mediated by NAD(P)H oxidase in isolated rat pancreatic islets. Regulatory Peptides. 175(1-3). 1–6. 4 indexed citations
2.
Newsholme, Philip, D. Morgan, Eduardo Rebelato, et al.. (2009). Insights into the critical role of NADPH oxidase(s) in the normal and dysregulated pancreatic beta cell. Diabetologia. 52(12). 2489–2498. 129 indexed citations
3.
Morgan, D., Eduardo Rebelato, Fernando Abdulkader, et al.. (2009). Association of NAD(P)H Oxidase with Glucose-Induced Insulin Secretion by Pancreatic β-Cells. Endocrinology. 150(5). 2197–2201. 101 indexed citations
4.
Hirata, Aparecida Emiko, D. Morgan, Manoel de Souza Rocha, et al.. (2008). Angiotensin II induces superoxide generation via NAD(P)H oxidase activation in isolated rat pancreatic islets. Regulatory Peptides. 153(1-3). 1–6. 13 indexed citations
5.
Newsholme, Philip, Esther Piltcher Haber, Sandro Massao Hirabara, et al.. (2007). Diabetes associated cell stress and dysfunction: role of mitochondrial and non‐mitochondrial ROS production and activity. The Journal of Physiology. 583(1). 9–24. 543 indexed citations breakdown →
6.
Morgan, D., Deirdre Keane, Aparecida Emiko Hirata, et al.. (2006). Glucose, palmitate and pro-inflammatory cytokines modulate production and activity of a phagocyte-like NADPH oxidase in rat pancreatic islets and a clonal beta cell line. Diabetologia. 50(2). 359–369. 183 indexed citations
7.
Greene, Raymond, D. Morgan, & R.G. Bird. (1958). THE PLASMA PROTEINS IN THYROID DISORDERS*. The Journal of Clinical Endocrinology & Metabolism. 18(1). 99–108. 5 indexed citations
8.
Greene, Raymond & D. Morgan. (1956). TOXICITY OF THE ANTITHYROID DRUG CARBIMAZOLE. The Journal of Clinical Endocrinology & Metabolism. 16(3). 391–396. 12 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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