The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Bernhardt L. Trout sits on this spectrum.
This scientist: 246 publications — 48th percentile
48% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,295 publications or more.
The chart shows the D-index (discipline H-index) distribution of Chemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Bernhardt L. Trout sits on this spectrum.
This scientist: 77 D-Index — 78th percentile
78% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 159 D-Index or more.
Bernhardt L. Trout is affiliated with MIT in the United States and has contributed extensively to the fields of Biochemistry, Genetics and Molecular Biology as well as Engineering. Their research encompasses a range of topics primarily focused on protein science and antibody behavior.
The main subjects of Bernhardt L. Trout's research include:
Their work often intersects with subfields such as Molecular Biology, Radiology, Nuclear Medicine and Imaging, and Biomedical Engineering, reflecting a multidisciplinary approach within both biological and engineering contexts.
Bernhardt L. Trout has published research extensively in several scientific venues. The most frequent publication platforms include:
Recent publications by Bernhardt L. Trout highlight contributions to understanding antibody formulation and aggregation using computational and machine learning techniques. Notable papers include:
Their frequent collaborators include:
This collaboration network reflects interdisciplinary work bridging computational methods, pharmaceutical sciences, and molecular biology. Bernhardt L. Trout's research contributions focus strongly on the challenges of antibody aggregation, viscosity behavior, and formulation development for therapeutic applications with an emphasis on machine learning and computational modeling methodologies.
Salvatore Mascia;Patrick L. Heider;Haitao Zhang;Richard Lakerveld
Naresh Chennamsetty;Vladimir Voynov;Veysel Kayser;Bernhard Helk
Vincent Vagenende;Miranda G. S. Yap;Bernhardt L. Trout;Bernhardt L. Trout
Spencer D. Schaber;Dimitrios I. Gerogiorgis;Rohit Ramachandran;James M. B. Evans
Baron Peters;Bernhardt L. Trout
Ravi Radhakrishnan;Bernhardt L. Trout
Brian M Baynes;Daniel I C Wang;Bernhardt L Trout
Brian J. Anderson;Jefferson W. Tester;Gian Paolo Borghi;Bernhardt L. Trout
Boon-Kin Pong;Bernhardt L. Trout;Jim-Yang Lee
Diwakar Shukla;Bernhardt L. Trout
Jhih-Wei Chu;Bernhardt L. Trout;Bernard R. Brooks
Ying Diao;Allan S. Myerson;T. Alan Hatton;Bernhardt L. Trout
Justin J. Maresh;Lesley Ann Giddings;Anne Friedrich;Elke A. Loris
Timothy M. Lauer;Neeraj J. Agrawal;Naresh Chennamsetty;Kamal Egodage
Allan S. Myerson;Bernhardt L. Trout
Baron Peters;Gregg T. Beckham;Bernhardt L. Trout
Brian M. Baynes;Bernhardt L. Trout
Jane Y Rempel;Bernhardt L Trout;Moungi G Bawendi;Klavs F Jensen
Naresh Chennamsetty;Vladimir Voynov;Veysel Kayser;Bernhard Helk
Ying Diao;Takuya Harada;Takuya Harada;Allan S. Myerson;T. Alan Hatton
Bernhardt L. Trout;and Arup K. Chakraborty;Alexis T. Bell
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