Mary N. Teruel

5.1k citations
39 papers · 3.9k indexed · 1 hit paper · h-index 27
Topics
Adipose Tissue and Metabolism (8 papers)Cellular transport and secretion (6 papers)Protein Kinase Regulation and GTPase Signaling (5 papers)
Partner nations
United StatesItalySweden

In The Last Decade

Mary N. Teruel

38 papers receiving 3.9k citations

Hit Papers

Heterogeneous Ribosomes Preferentially Translate Distinct...20172026202020232017100200300400

Peers

Mary N. Teruel
Comparison fields: 5 of 128
  • Molecular Biology 2.8k
  • Cell Biology 1.1k
  • Cellular and Molecular Neuroscience 707
  • Physiology 423
  • Immunology 324
Replace Takanari Inoue with:
Takanari Inoue United States
Sunghoe Chang South Korea
Jan Schmoranzer Germany
Miho Iijima United States
Eugenio Fava Germany
Manojkumar A. Puthenveedu United States
Martin Bähler Germany
Kendall Blumer United States
Dmytro Puchkov Germany
Malin Jarvius Sweden
Mary N. Teruel relative to Takanari Inoue United States Takanari Inoue's profile →
Citations per field
00.5×1.5×1.9×
Takanari Inoue · 1×
Citations per year

Countries citing papers authored by Mary N. Teruel

Since Specialization
Citations

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

Fields of papers citing papers by Mary N. Teruel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary N. Teruel. 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 Mary N. Teruel. The network helps show where Mary N. Teruel may publish in the future.

Co-authorship network of co-authors of Mary N. Teruel

This figure shows the co-authorship network connecting the top 25 collaborators of Mary N. Teruel. A scholar is included among the top collaborators of Mary N. Teruel 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 Mary N. Teruel. Mary N. Teruel 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 30
2 12
3 165
4 11
5 185
6 62
7 69
8 29
9 61
10 1
11 145
12 50
13 294
14 48
15 114
16 56
17 169
18 185
19 121
20 92

About Mary N. Teruel

Mary N. Teruel is a scholar working on Aging, Biophysics and Cell Biology, having authored 39 papers that have together received 3.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Cellular transport and secretion (6 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). The work is most often cited by research in Cell Biology (1.1k citations), Molecular Biology (2.8k citations) and Cellular and Molecular Neuroscience (707 citations). Mary N. Teruel has collaborated with scholars based in United States, Italy and Sweden. Frequent co-authors include Tobias Meyer, Kang Shen, Franca Codazzi, Kyle M. Kovary, Elena Oancea, Andrew F. G. Quest, Robert Ahrends, Jason M. Haugh, Naomi R. Genuth and Hannes Röst. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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