Daniel J. O’Donovan

542 total citations
34 papers, 420 citations indexed

About

Daniel J. O’Donovan is a scholar working on Molecular Biology, Clinical Biochemistry and Physiology. According to data from OpenAlex, Daniel J. O’Donovan has authored 34 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Clinical Biochemistry and 6 papers in Physiology. Recurrent topics in Daniel J. O’Donovan's work include Metabolism and Genetic Disorders (10 papers), Diet and metabolism studies (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Daniel J. O’Donovan is often cited by papers focused on Metabolism and Genetic Disorders (10 papers), Diet and metabolism studies (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Daniel J. O’Donovan collaborates with scholars based in Ireland, United States and Bahrain. Daniel J. O’Donovan's co-authors include Julia Logan, William D. Lotspeich, Ciarán MacDonncha, Anthony Watson, Stephen C. Blacklow, Piotr Sliz, Yunsun Nam, Sung Hee Choi, Thomas E. Wales and B. E. Leonard and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Daniel J. O’Donovan

28 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. O’Donovan Ireland 10 245 77 45 40 40 34 420
Nathan S. Teuscher United States 10 100 0.4× 57 0.7× 4 0.1× 15 0.4× 70 1.8× 25 448
John D. Bell United States 11 162 0.7× 8 0.1× 15 0.3× 13 0.3× 40 1.0× 19 455
Shuichi Shimakawa Japan 13 220 0.9× 73 0.9× 4 0.1× 9 0.2× 22 0.6× 44 559
Craig C. Freudenrich United States 8 254 1.0× 65 0.8× 4 0.1× 15 0.4× 38 0.9× 12 389
Ann M. Holleschau United States 15 254 1.0× 10 0.1× 6 0.1× 55 1.4× 77 1.9× 33 573
Julie L. Walsh United States 8 297 1.2× 57 0.7× 14 0.3× 47 1.2× 9 409
Fátima Cruz Spain 9 177 0.7× 189 2.5× 64 1.6× 65 1.6× 10 384
Samuel Bogoch United States 13 305 1.2× 100 1.3× 2 0.0× 37 0.9× 64 1.6× 55 509
Wesley Dingman United States 10 213 0.9× 74 1.0× 3 0.1× 63 1.6× 40 1.0× 11 409
Tadashi Kashiwagura Japan 11 180 0.7× 60 0.8× 34 0.8× 58 1.4× 22 396

Countries citing papers authored by Daniel J. O’Donovan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. O’Donovan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. O’Donovan. 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 J. O’Donovan. The network helps show where Daniel J. O’Donovan may publish in the future.

Co-authorship network of co-authors of Daniel J. O’Donovan

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

All Works

20 of 20 papers shown
1.
Özer, Buğra, et al.. (2024). An experimentally validated approach to automated biological evidence generation in drug discovery using knowledge graphs. Nature Communications. 15(1). 5703–5703. 3 indexed citations
2.
Brownjohn, Philip W., et al.. (2024). Computational drug discovery approaches identify mebendazole as a candidate treatment for autosomal dominant polycystic kidney disease. Frontiers in Pharmacology. 15. 1397864–1397864. 2 indexed citations
3.
Chadwick, Wayne, Patricia Cogram, Daniel J. Mason, et al.. (2023). A novel combination treatment for fragile X syndrome predicted using computational methods. Brain Communications. 6(1). fcad353–fcad353. 2 indexed citations
4.
Bailey, Damian M., G. Rose, Daniel J. O’Donovan, et al.. (2022). Retroperitoneal Compared to Transperitoneal Approach for Open Abdominal Aortic Aneurysm Repair Is Associated with Reduced Systemic Inflammation and Postoperative Morbidity. Aorta. 10(5). 225–234. 3 indexed citations
5.
6.
O’Donovan, Daniel J., et al.. (2016). Collection of untainted urinary specimens from the bladder of an anesthetized rabbit. Lab Animal. 45(3). 112–114. 2 indexed citations
7.
O’Donovan, Daniel J., et al.. (2016). Potential errors in the determination of urinary ammonium by formol titration. Clinical Chemistry and Laboratory Medicine (CCLM). 54(10). e293–e295. 1 indexed citations
8.
O’Donovan, Daniel J.. (2015). Hepatic Glutamine Synthesis and Urinary Ammonia Excretion1. Contributions to nephrology. 31. 5–10.
9.
O’Donovan, Daniel J., Ian Stokes-Rees, Yunsun Nam, et al.. (2012). A grid-enabled web service for low-resolution crystal structure refinement. Acta Crystallographica Section D Biological Crystallography. 68(3). 261–267. 16 indexed citations
10.
Choi, Sung Hee, Thomas E. Wales, Yunsun Nam, et al.. (2012). Conformational Locking upon Cooperative Assembly of Notch Transcription Complexes. Structure. 20(2). 340–349. 46 indexed citations
11.
O’Donovan, Daniel J., et al.. (1998). Alterations in renal and hepatic nitrogen metabolism in rats during HCl ingestion. Metabolism. 47(2). 163–167. 3 indexed citations
12.
O’Donovan, Daniel J., et al.. (1998). 112 Does urea synthesis play a role in bicarbonate disposal?. Biochemical Society Transactions. 26(1). S85–S85. 1 indexed citations
13.
O’Donovan, Daniel J., et al.. (1998). Renal and hepatic nitrogen metabolism during NH4Cl ingestion in protein‐deprived rats. European Journal of Biochemistry. 254(2). 428–432. 3 indexed citations
14.
O’Donovan, Daniel J.. (1985). Ammonia metabolism during acid-base disturbance. Irish Journal of Medical Science (1971 -). 154(7). 253–261.
15.
Logan, Julia & Daniel J. O’Donovan. (1980). Noradrenaline uptake by synaptosomes and (Na+-K+) ATPase. Biochemical Pharmacology. 29(15). 2105–2112. 10 indexed citations
16.
Logan, Julia & Daniel J. O’Donovan. (1980). The effect of desipramine on the noradrenaline stimulated Na-K ATPase of rabbit synaptic membranes. Biochemical Pharmacology. 29(1). 111–112. 18 indexed citations
17.
O’Donovan, Daniel J., et al.. (1975). Brain enzyme levels during intraperitoneal injections of ammonium acetate. Biochemical Pharmacology. 24(21). 1995–1996. 4 indexed citations
18.
O’Donovan, Daniel J., et al.. (1969). A quantitative evaluation of the non-enzymatic conversion of glutamine to ammonia. Cellular and Molecular Life Sciences. 25(1). 100–101. 3 indexed citations
19.
O’Donovan, Daniel J., et al.. (1968). Factors affecting the deamidation of glutamine by kidney mitochondria of normal and acidotic rats.. PubMed. 35(2). 82–92. 9 indexed citations
20.
O’Donovan, Daniel J.. (1967). Supplementation of straw with urea for cattle.. Irish journal of agricultural research. 6. 284–287. 1 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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