Michael J. Gruber

486 total citations
16 papers, 364 citations indexed

About

Michael J. Gruber is a scholar working on Mathematical Physics, Cardiology and Cardiovascular Medicine and Ophthalmology. According to data from OpenAlex, Michael J. Gruber has authored 16 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Mathematical Physics, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Ophthalmology. Recurrent topics in Michael J. Gruber's work include Spectral Theory in Mathematical Physics (4 papers), Antioxidant Activity and Oxidative Stress (3 papers) and Retinal Imaging and Analysis (2 papers). Michael J. Gruber is often cited by papers focused on Spectral Theory in Mathematical Physics (4 papers), Antioxidant Activity and Oxidative Stress (3 papers) and Retinal Imaging and Analysis (2 papers). Michael J. Gruber collaborates with scholars based in United States, Germany and Slovakia. Michael J. Gruber's co-authors include Julie A. Mares, D. Max Snodderly, Billy R. Wooten, Suzen M. Moeller, Tara L. LaRowe, Richard J. Chappell, Elizabeth J. Johnson, Michael L. Klein, Amy E. Millen and Alessandro Iannaccone and has published in prestigious journals such as Blood, American Journal of Clinical Nutrition and Journal of Nutrition.

In The Last Decade

Michael J. Gruber

16 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Gruber United States 7 198 197 96 94 38 16 364
Yuko Gohto Japan 14 204 1.0× 304 1.5× 174 1.8× 133 1.4× 16 0.4× 26 451
John K. Wolfe United States 12 75 0.4× 207 1.1× 92 1.0× 312 3.3× 7 0.2× 20 559
Αναστασία Αλεξανδρίδου Greece 10 14 0.1× 130 0.7× 45 0.5× 120 1.3× 7 0.2× 21 314
Patricia M. Khu United States 8 35 0.2× 244 1.2× 142 1.5× 194 2.1× 1 0.0× 15 447
Sarega Gurudas United Kingdom 10 7 0.0× 345 1.8× 315 3.3× 76 0.8× 15 0.4× 31 479
Sandra Halim United Kingdom 4 7 0.0× 163 0.8× 147 1.5× 45 0.5× 15 0.4× 4 272
Thomas Richter Germany 9 11 0.1× 70 0.4× 69 0.7× 60 0.6× 6 0.2× 23 333
Shiyun Luo China 7 7 0.0× 36 0.2× 13 0.1× 113 1.2× 22 0.6× 10 287
Jeong-Ah Kim South Korea 11 11 0.1× 260 1.3× 213 2.2× 36 0.4× 18 377
Alysia Chaves United States 10 33 0.2× 3 0.0× 31 0.3× 142 1.5× 176 4.6× 16 400

Countries citing papers authored by Michael J. Gruber

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Gruber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Gruber. 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 Michael J. Gruber. The network helps show where Michael J. Gruber may publish in the future.

Co-authorship network of co-authors of Michael J. Gruber

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

All Works

16 of 16 papers shown
1.
Grilo, Miguel L., et al.. (2018). IDIOPATHIC IRON OVERLOAD IN A HARBOR SEAL (PHOCA VITULINA). Journal of Zoo and Wildlife Medicine. 49(3). 770–773. 2 indexed citations
2.
Oravec, Stanislav, et al.. (2011). Lipoprotein profile in patients who survive a stroke.. PubMed. 32(4). 496–501. 11 indexed citations
3.
Gruber, Michael J., Daniel Lenz, & Ivan Veselić. (2010). L p -Approximation of the Integrated Density of States for Schrödinger Operators with Finite Local Complexity. Integral Equations and Operator Theory. 69(2). 217–232. 1 indexed citations
4.
Gruber, Michael J. & Ivan Veselić. (2008). The modulus of continuity of Wegner estimates for random Schrödinger operators on metric graphs. Random Operators and Stochastic Equations. 16(1). 1–10. 2 indexed citations
5.
Gruber, Michael J., Daniel Lenz, & Ivan Veselić. (2007). Uniform existence of the integrated density of states for random Schrödinger operators on metric graphs over Zd. Journal of Functional Analysis. 253(2). 515–533. 4 indexed citations
6.
Mares, Julie A., Tara L. LaRowe, D. Max Snodderly, et al.. (2006). Predictors of optical density of lutein and zeaxanthin in retinas of older women in the Carotenoids in Age-Related Eye Disease Study, an ancillary study of the Women’s Health Initiative. American Journal of Clinical Nutrition. 84(5). 1107–1122. 105 indexed citations
7.
Gruber, Michael J., et al.. (2006). Spontaneous Edge Currents for the Dirac Equation in Two Space Dimensions. Letters in Mathematical Physics. 75(1). 25–37. 5 indexed citations
8.
Mares, Julie A., Tara L. LaRowe, D. Max Snodderly, et al.. (2006). PREDICTORS OF OPTICAL DENSITY OF LUTEIN AND ZEAXANTHIN IN RETINAS OF OLDER WOMEN IN THE CAROTENOIDS IN AGE-RELATED EYE DISEASE STUDY, AN ANCILLARY STUDY OF THE WOMEN'S HEALTH INITIATIVE (CAREDS MACULAR PIGMENT STUDY GROUP AND INVESTIGATORS). 84(5). 1107–1122. 22 indexed citations
9.
Kaatz, Scott, Harvey D. White, Michael J. Gruber, & Gregory W. Albers. (2005). Outcomes for Ximelagatran Compared with Warfarin According to INR Control: Results from SPORTIF III and V Atrial Fibrillation Trials.. Blood. 106(11). 902–902. 1 indexed citations
10.
Mares-Perlman, J. A., D. Max Snodderly, Michael J. Gruber, et al.. (2004). Determinants of Macular Pigment Density in the Carotenoids in Age–Related Eye Disease Study (CAREDS) an Ancillary Study of the Women's Health Initiative. Investigative Ophthalmology & Visual Science. 45(13). 2966–2966. 1 indexed citations
11.
Snodderly, D. Max, Julie A. Mares, B. R. Wooten, et al.. (2004). Macular Pigment Density of Women in the Carotenoids in Age–Related Eye Disease Study (CAREDS). Investigative Ophthalmology & Visual Science. 45(13). 2970–2970. 1 indexed citations
12.
Gruber, Michael J., Julie A. Mares, Richard J. Chappell, et al.. (2004). Correlates of Serum Lutein + Zeaxanthin: Findings from the Third National Health and Nutrition Examination Survey. Journal of Nutrition. 134(9). 2387–2394. 59 indexed citations
13.
Snodderly, D. Max, et al.. (2004). Macular Pigment Measurement by Heterochromatic Flicker Photometry in Older Subjects: The Carotenoids and Age-Related Eye Disease Study. Investigative Ophthalmology & Visual Science. 45(2). 531–531. 112 indexed citations
14.
Gruber, Michael J.. (2002). Measures of Fermi Surfaces and Absence of Singular Continuous Spectrum for Magnetic Schrödinger Operators. Mathematische Nachrichten. 233-234(1). 111–127. 2 indexed citations
15.
Gruber, Michael J.. (2000). Bloch theory and quantization of magnetic systems. Journal of Geometry and Physics. 34(2). 137–154. 9 indexed citations
16.
Hochberg, Mark S., Walter H. Merrill, Michael J. Gruber, et al.. (1978). Delayed cardiac tamponade associated with prophylactic anticoagulation in patients undergoing coronary bypass grafting. Early diagnosis with two-dimensional echocardiography.. PubMed. 75(5). 777–81. 27 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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