Shaun G. Weller

2.4k citations
23 papers · 1.9k indexed · 1 hit paper · h-index 18
Topics
Lipid metabolism and biosynthesis (12 papers)Cellular transport and secretion (9 papers)Endoplasmic Reticulum Stress and Disease (6 papers)

In The Last Decade

Shaun G. Weller

22 papers receiving 1.9k citations

Hit Papers

Lipid droplet size directs lipolysis and lipophagy catabo...2019202620212023201950100150200

Peers

Shaun G. Weller
Comparison fields: 5 of 89
  • Molecular Biology 864
  • Cell Biology 827
  • Biochemistry 580
  • Epidemiology 557
  • Physiology 303
Replace Maarit Hölttä‐Vuori with:
Maarit Hölttä‐Vuori Finland
Anutosh Chakraborty United States
Elizabeth J. Ackermann United States
Axel Nohturfft United States
Costin N. Antonescu Canada
Thomas Engel Germany
Gudrun Ihrke United States
Corinne M. Linardic United States
Dorothy I. Mundy United States
Jonathan L. Coloff United States
Shaun G. Weller relative to Maarit Hölttä‐Vuori Finland Maarit Hölttä‐Vuori's profile →
Citations per field
00.5×1.7×
Maarit Hölttä‐Vuori · 1×
Citations per year

Countries citing papers authored by Shaun G. Weller

Since Specialization
Citations

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

Fields of papers citing papers by Shaun G. Weller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaun G. Weller. 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 Shaun G. Weller. The network helps show where Shaun G. Weller may publish in the future.

Co-authorship network of co-authors of Shaun G. Weller

This figure shows the co-authorship network connecting the top 25 collaborators of Shaun G. Weller. A scholar is included among the top collaborators of Shaun G. Weller 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 Shaun G. Weller. Shaun G. Weller 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
#WorkIndexed citations
1 0
2 5
3 37
4 174
5 1
6
Lipid droplet size directs lipolysis and lipophagy catabolism in hepatocytesbreakdown →
249
7 34
8 56
9 67
10 255
11 104
12 42
13 88
14 48
15 180
16 8
17 147
18 172
19 32
20 71

About Shaun G. Weller

Shaun G. Weller is a scholar working on Biochemistry, Cell Biology and Immunology and Allergy, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (12 papers), Cellular transport and secretion (9 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). The work is most often cited by research in Biochemistry (580 citations), Cell Biology (827 citations) and Immunology and Allergy (129 citations). Shaun G. Weller has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Mark A. McNiven, Carol A. Casey, Eugene W. Krueger, Ryan J. Schulze, Micah B. Schott, James D. Orth, Barbara Schroeder, Hong Cao, Arthur C. Sletten and Kristina Drizyte‐Miller. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

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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