Nuno Rocha

2.9k citations
20 papers · 1.8k indexed · 1 hit paper · h-index 14
Topics
Cellular transport and secretion (5 papers)Metabolism, Diabetes, and Cancer (5 papers)Adipose Tissue and Metabolism (4 papers)

In The Last Decade

Nuno Rocha

19 papers receiving 1.8k citations

Hit Papers

Cholesterol sensor ORP1L contacts the ER protein VAP to c...20092026201420202009100200300400500

Peers

Nuno Rocha
Comparison fields: 5 of 91
  • Molecular Biology 975
  • Cell Biology 840
  • Physiology 272
  • Physiology 271
  • Epidemiology 248
Replace Katsuko Tani with:
Katsuko Tani Japan
Shin‐ichiro Yoshimura Japan
Susan D. Arden United Kingdom
José A. Martínez‐Menárguez Spain
Masami Nagahama Japan
David A. Tumbarello United Kingdom
Dorothea Maetzel United States
Yohei Katoh Japan
Juliati Rahajeng United States
Florence Jollivet France
Nuno Rocha relative to Katsuko Tani Japan Katsuko Tani's profile →
Citations per field
00.5×1.5×
Katsuko Tani · 1×
Citations per year

Countries citing papers authored by Nuno Rocha

Since Specialization
Citations

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

Fields of papers citing papers by Nuno Rocha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nuno Rocha. 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 Nuno Rocha. The network helps show where Nuno Rocha may publish in the future.

Co-authorship network of co-authors of Nuno Rocha

This figure shows the co-authorship network connecting the top 25 collaborators of Nuno Rocha. A scholar is included among the top collaborators of Nuno Rocha 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 Nuno Rocha. Nuno Rocha 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 11
3 21
4 15
5 24
6 12
7 13
8 17
9 72
10 160
11 114
12 9
13 51
14
Expression of ARL15, a type 2 diabetes risk variant, is increased in cultured human skeletal muscle cells from insulin-resistant type 2 diabetes patients
1
15
Cholesterol sensor ORP1L contacts the ER protein VAP to control Rab7–RILP–p150Glued and late endosome positioningbreakdown →
553
16 108
17 118
18 383
19 6
20 82

About Nuno Rocha

Nuno Rocha is a scholar working on Physiology, Cell Biology and Physiology, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Metabolism, Diabetes, and Cancer (5 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Physiology (272 citations), Cell Biology (840 citations) and Molecular Biology (975 citations). Nuno Rocha has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Jacques Neefjes, Lennert Janssen, Coenraad Kuijl, Wilbert Zwart, Rik van der Kant, Hans Janssen, Ingrid Jordens, Marie Johansson, Vesa M. Olkkonen and Robert K. Semple. Their work appears in journals such as Science, Nucleic Acids Research and Journal of Clinical Investigation.

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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