Juan J. Herrero

917 total citations
11 papers, 779 citations indexed

About

Juan J. Herrero is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Juan J. Herrero has authored 11 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cell Biology. Recurrent topics in Juan J. Herrero's work include Ubiquitin and proteasome pathways (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Juan J. Herrero is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Juan J. Herrero collaborates with scholars based in United States, Italy and Japan. Juan J. Herrero's co-authors include Yuri Pekarsky, Carlo M. Croce, Rami I. Aqeilan, Alexey Palamarchuk, Koichi Fujii, Guozhi Zhu, Stephen Shaw, Ronald J. Weigel, Shuang-Yin Han and Teresa Druck and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Juan J. Herrero

9 papers receiving 770 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Juan J. Herrero United States 9 637 272 138 123 103 11 779
D Laugier France 12 565 0.9× 131 0.5× 40 0.3× 84 0.7× 94 0.9× 23 695
Leslie A. Nangle United States 15 1.4k 2.2× 151 0.6× 253 1.8× 46 0.4× 90 0.9× 29 1.7k
Sebastian Iben Germany 16 1.1k 1.7× 163 0.6× 49 0.4× 93 0.8× 169 1.6× 35 1.3k
Eamon F.X. Byrne United States 7 616 1.0× 154 0.6× 82 0.6× 86 0.7× 42 0.4× 9 722
Eric Bourhis United States 5 482 0.8× 124 0.5× 40 0.3× 102 0.8× 76 0.7× 5 550
Douglas A. Austen United States 9 613 1.0× 61 0.2× 68 0.5× 176 1.4× 188 1.8× 12 861
Haiqing Yi United States 19 533 0.8× 174 0.6× 46 0.3× 81 0.7× 154 1.5× 34 851
Xiang-Jiao Yang Canada 14 983 1.5× 130 0.5× 67 0.5× 212 1.7× 286 2.8× 19 1.2k
Bruno Vaz United Kingdom 12 913 1.4× 232 0.9× 25 0.2× 161 1.3× 142 1.4× 15 1.1k
Julie Dixon United Kingdom 14 867 1.4× 111 0.4× 53 0.4× 154 1.3× 106 1.0× 15 983

Countries citing papers authored by Juan J. Herrero

Since Specialization
Citations

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

Fields of papers citing papers by Juan J. Herrero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan J. Herrero. 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 Juan J. Herrero. The network helps show where Juan J. Herrero may publish in the future.

Co-authorship network of co-authors of Juan J. Herrero

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

All Works

11 of 11 papers shown
1.
2.
Zhu, Guozhi, Koichi Fujii, Yin Liu, et al.. (2005). Exceptional Disfavor for Proline at the P+1 Position among AGC and CAMK Kinases Establishes Reciprocal Specificity between Them and the Proline-directed Kinases. Journal of Biological Chemistry. 280(11). 10743–10748. 45 indexed citations
3.
Zhu, Guozhi, et al.. (2005). A Single Pair of Acidic Residues in the Kinase Major Groove Mediates Strong Substrate Preference for P-2 or P-5 Arginine in the AGC, CAMK, and STE Kinase Families. Journal of Biological Chemistry. 280(43). 36372–36379. 43 indexed citations
4.
Herrero, Juan J., et al.. (2005). An Information System to Exploit the Use of Metadata within Film and Television Production. SMPTE Motion Imaging Journal. 114(1). 44–52.
5.
Kato, Yusuke, Koji Nagata, Mihoko Takahashi, et al.. (2004). Common Mechanism of Ligand Recognition by Group II/III WW Domains. Journal of Biological Chemistry. 279(30). 31833–31841. 57 indexed citations
6.
Hu, Hai, John Columbus, Yi Zhang, et al.. (2004). A map of WW domain family interactions. PROTEOMICS. 4(3). 643–655. 116 indexed citations
7.
Aqeilan, Rami I., Yuri Pekarsky, Juan J. Herrero, et al.. (2004). Functional association between Wwox tumor suppressor protein and p73, a p53 homolog. Proceedings of the National Academy of Sciences. 101(13). 4401–4406. 200 indexed citations
8.
Aqeilan, Rami I., Alexey Palamarchuk, Ronald J. Weigel, et al.. (2004). Physical and Functional Interactions between the Wwox Tumor Suppressor Protein and the AP-2γ Transcription Factor. Cancer Research. 64(22). 8256–8261. 139 indexed citations
9.
Fujii, Koichi, Guozhi Zhu, Yin Liu, et al.. (2004). Kinase peptide specificity: Improved determination and relevance to protein phosphorylation. Proceedings of the National Academy of Sciences. 101(38). 13744–13749. 80 indexed citations
10.
Itani, Omar A., et al.. (2003). Alternate promoters and variable splicing lead to hNedd4–2 isoforms with a C2 domain and varying number of WW domains. American Journal of Physiology-Renal Physiology. 285(5). F916–F929. 51 indexed citations
11.
Manfredi, John P., Christine Klein, Juan J. Herrero, et al.. (1996). Yeast α Mating Factor Structure-Activity Relationship Derived from Genetically Selected Peptide Agonists and Antagonists of Ste2p. Molecular and Cellular Biology. 16(9). 4700–4709. 48 indexed citations

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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