Brian M. Castellano

932 citations
7 papers · 497 indexed · 1 hit paper · h-index 6
Topics
thermodynamics and calorimetric analyses (2 papers)Viral Infectious Diseases and Gene Expression in Insects (2 papers)Transgenic Plants and Applications (2 papers)

In The Last Decade

Brian M. Castellano

7 papers receiving 496 citations

Hit Papers

Lysosomal cholesterol activates mTORC1 via an SLC38A9–Nie...20172026202020232017100200300

Peers

Brian M. Castellano
Comparison fields: 5 of 80
  • Molecular Biology 251
  • Epidemiology 117
  • Cell Biology 115
  • Physiology 97
  • Physiology 88
Replace Zhenyuan Tang with:
Zhenyuan Tang United States
Wen‐Ting Lo Germany
Birol Cabukusta Netherlands
Hisao Nagaya Japan
Laura Stransky United States
Shirley Tremel United Kingdom
Amy Y. Huang United States
Collin Bachert United States
Key-Sun Kim South Korea
Naoto Soya Canada
Brian M. Castellano relative to Zhenyuan Tang United States Zhenyuan Tang's profile →
Citations per field
00.5×1.5×1.9×
Zhenyuan Tang · 1×
Citations per year

Countries citing papers authored by Brian M. Castellano

Since Specialization
Citations

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

Fields of papers citing papers by Brian M. Castellano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian M. Castellano. 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 Brian M. Castellano. The network helps show where Brian M. Castellano may publish in the future.

Co-authorship network of co-authors of Brian M. Castellano

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 5
2 6
3 6
4
Lysosomal cholesterol activates mTORC1 via an SLC38A9–Niemann-Pick C1 signaling complexbreakdown →
394
5 49
6 1
7 36

About Brian M. Castellano

Brian M. Castellano is a scholar working on Biotechnology, Physical and Theoretical Chemistry and Physiology, having authored 7 papers that have together received 497 indexed citations. Recurring topics across this work include thermodynamics and calorimetric analyses (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Transgenic Plants and Applications (2 papers). The work is most often cited by research in Physiology (88 citations), Endocrinology (36 citations) and Cell Biology (115 citations). Brian M. Castellano has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Roberto Zoncu, Daniel K. Nomura, Ashley Thelen, Ofer Moldavski, Daniel S. Ory, Rushika M. Perera, Laurel Mydock‐McGrane, Douglas F. Covey, Oliver B. Davis and Sharon M. Louie. Their work appears in journals such as Science, Journal of Biological Chemistry and The Journal of Physical Chemistry B.

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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