Richard Bucala

641 total citations
9 papers, 535 citations indexed

About

Richard Bucala is a scholar working on Clinical Biochemistry, Cellular and Molecular Neuroscience and Ophthalmology. According to data from OpenAlex, Richard Bucala has authored 9 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Clinical Biochemistry, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Ophthalmology. Recurrent topics in Richard Bucala's work include Advanced Glycation End Products research (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Nuclear Receptors and Signaling (2 papers). Richard Bucala is often cited by papers focused on Advanced Glycation End Products research (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Nuclear Receptors and Signaling (2 papers). Richard Bucala collaborates with scholars based in United States, Puerto Rico and Ethiopia. Richard Bucala's co-authors include Zenji Makita, Iain D. Nicholl, Yukihiko Kameda, Takako Suzuki, Takao Koike, Thomas J. Curphey, Paul J. Beisswenger, Helen Vlassara, Lynn L. Moore and Truls Brinck‐Johnsen and has published in prestigious journals such as Circulation, Diabetes and Journal of Hepatology.

In The Last Decade

Richard Bucala

9 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Bucala United States 5 390 217 81 72 68 9 535
Seiji Ohashi Japan 4 352 0.9× 203 0.9× 129 1.6× 236 3.3× 51 0.8× 7 615
S. Martin United States 5 333 0.9× 171 0.8× 54 0.7× 37 0.5× 113 1.7× 10 617
Gurdip Daffu United States 9 278 0.7× 111 0.5× 51 0.6× 25 0.3× 82 1.2× 11 508
Anna Gasser Australia 6 177 0.5× 125 0.6× 38 0.5× 59 0.8× 68 1.0× 6 326
Sophia I. Pachydaki United States 9 347 0.9× 90 0.4× 42 0.5× 14 0.2× 50 0.7× 17 700
Kenzo Iino Japan 10 67 0.2× 125 0.6× 16 0.2× 39 0.5× 62 0.9× 17 360
A.S. Reddi United States 12 96 0.2× 137 0.6× 22 0.3× 110 1.5× 97 1.4× 43 524
Simona Cugusi United States 9 391 1.0× 137 0.6× 35 0.4× 25 0.3× 128 1.9× 10 675
R. Pringle United Kingdom 4 161 0.4× 79 0.4× 85 1.0× 7 0.1× 61 0.9× 6 393
D. B. Archer United Kingdom 10 105 0.3× 56 0.3× 20 0.2× 14 0.2× 110 1.6× 22 511

Countries citing papers authored by Richard Bucala

Since Specialization
Citations

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

Fields of papers citing papers by Richard Bucala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Bucala

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Bucala. A scholar is included among the top collaborators of Richard Bucala 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 Richard Bucala. Richard Bucala 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.
Poulsen, Kyle L., Megan R. McMullen, Michael J. Sheehan, et al.. (2018). Protection from Gao-Binge induced liver injury in Mif–/– Mice is associated with decreased ER stress. Journal of Hepatology. 68. S47–S48. 3 indexed citations
2.
Kim, Hyun Sook, Sihoon Lee, Man‐Shan Kong, et al.. (2011). Elevated Levels of Macrophage Migration Inhibitory Factor in Women with Metabolic Syndrome. Hormone and Metabolic Research. 43(9). 642–645. 23 indexed citations
3.
Ma, Heng, Jingying Wang, Lin Leng, et al.. (2009). Abstract P215: Role for Reduced MIF Secretion in Attenuated AMPK Activation and Ischemic Recovery in the Senescent Heart. Circulation. 120. 1 indexed citations
4.
Chow, WS, et al.. (2005). Advanced glycation end products are increased in non-diabetic patients with obstructive sleep apnea but to a lesser degree than type 2 diabetic patients. 3 indexed citations
6.
Nicholl, Iain D. & Richard Bucala. (1998). Advanced glycation endproducts and cigarette smoking.. PubMed. 44(7). 1025–33. 101 indexed citations
7.
Kuroki, Manabu, Seiji Amano, Michael J. Tolentino, et al.. (1998). Advanced Glycation End Products Increase Retinal Vascular Endothelial Growth Factor Expression.. Retina. 18(5). 491–491. 20 indexed citations
8.
Koschinsky, T, Cijiang He, Tomoko Mitsuhashi, et al.. (1997). Orally absorbed reactive glycation products (glycotoxins): An environmental risk factor in diabetic nephropathy (food nonenzymatic glycation productsyrenalyvascularydiabetes diseaseyglycotoxinsyMaillard products). 2 indexed citations
9.
Beisswenger, Paul J., Zenji Makita, Thomas J. Curphey, et al.. (1995). Formation of Immunochemical Advanced Glycosylation End Products Precedes and Correlates With Early Manifestations of Renal and Retinal Disease in Diabetes. Diabetes. 44(7). 824–829. 209 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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