David Pacheu‐Grau

2.1k citations
34 papers · 1.3k indexed · h-index 17
Topics
Mitochondrial Function and Pathology (26 papers)ATP Synthase and ATPases Research (15 papers)Metabolism and Genetic Disorders (11 papers)
Journals
CellSHILAP Revista de lepidopterologíaThe EMBO Journal

In The Last Decade

David Pacheu‐Grau

34 papers receiving 1.3k citations

Peers

David Pacheu‐Grau
Comparison fields: 5 of 97
  • Molecular Biology 1.0k
  • Clinical Biochemistry 342
  • Physiology 131
  • Epidemiology 118
  • Cancer Research 77
Replace Christina Glytsou with:
Christina Glytsou United States
Aswin Pyakurel Switzerland
Paule Frachon France
Everett G. Robert United States
Florence Malka France
Michael A. Marino United States
Kelly R. Pitts United States
Suzanne Hoppins United States
Yuka Eura Japan
Yoshihiro Matsumura Japan
David Pacheu‐Grau relative to Christina Glytsou United States Christina Glytsou's profile →
Citations per field
00.5×10×20×28.5×
Christina Glytsou · 1×
Citations per year

Countries citing papers authored by David Pacheu‐Grau

Since Specialization
Citations

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

Fields of papers citing papers by David Pacheu‐Grau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Pacheu‐Grau. 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 David Pacheu‐Grau. The network helps show where David Pacheu‐Grau may publish in the future.

Co-authorship network of co-authors of David Pacheu‐Grau

This figure shows the co-authorship network connecting the top 25 collaborators of David Pacheu‐Grau. A scholar is included among the top collaborators of David Pacheu‐Grau 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 David Pacheu‐Grau. David Pacheu‐Grau 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 2
2 3
3 2
4 46
5 31
6 6
7 36
8 155
9 32
10 23
11 8
12 14
13 69
14 81
15 34
16 9
17 11
18 8
19 34
20 8

About David Pacheu‐Grau

David Pacheu‐Grau is a scholar working on Clinical Biochemistry, Molecular Biology and Physiology, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (26 papers), ATP Synthase and ATPases Research (15 papers) and Metabolism and Genetic Disorders (11 papers). The work is most often cited by research in Clinical Biochemistry (342 citations), Molecular Biology (1.0k citations) and Aging (14 citations). David Pacheu‐Grau has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Julio Montoya, Eduardo Ruiz‐Pesini, Aurora Gómez-Durán, Peter Rehling, Manuel J. López‐Pérez, Ester López‐Gallardo, Sven Dennerlein, Carmen Díez‐Sánchez, Markus Deckers and Bettina Warscheid. Their work appears in journals such as Cell, SHILAP Revista de lepidopterología and The EMBO Journal.

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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