Pablo Wappner

8.4k total citations
49 papers, 1.8k citations indexed

About

Pablo Wappner is a scholar working on Cancer Research, Molecular Biology and Ecology. According to data from OpenAlex, Pablo Wappner has authored 49 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cancer Research, 22 papers in Molecular Biology and 14 papers in Ecology. Recurrent topics in Pablo Wappner's work include Cancer, Hypoxia, and Metabolism (26 papers), Physiological and biochemical adaptations (13 papers) and RNA modifications and cancer (8 papers). Pablo Wappner is often cited by papers focused on Cancer, Hypoxia, and Metabolism (26 papers), Physiological and biochemical adaptations (13 papers) and RNA modifications and cancer (8 papers). Pablo Wappner collaborates with scholars based in Argentina, United Kingdom and United States. Pablo Wappner's co-authors include Lázaro Centanin, Thomas A. Gorr, Ben‐Zion Shilo, Peter J. Ratcliffe, Maximiliano Irisarri, Andrés Dekanty, Elazar Zelzer, Max Gassmann, Sofía Lavista-Llanos and Mariana Muzzopappa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Pablo Wappner

46 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pablo Wappner Argentina	23	925	624	490	426	381	49	1.8k
Thomas A. Gorr Switzerland	26	751 0.8×	473 0.8×	511 1.0×	330 0.8×	173 0.5×	52	1.8k
Pier Morin Canada	24	934 1.0×	418 0.7×	364 0.7×	127 0.3×	103 0.3×	62	1.8k
Kazuyuki Hoshijima United States	24	1.7k 1.9×	119 0.2×	381 0.8×	485 1.1×	248 0.7×	35	2.7k
Lázaro Centanin Germany	17	549 0.6×	257 0.4×	280 0.6×	233 0.5×	200 0.5×	31	1.0k
Felix Rintelen Switzerland	10	1.3k 1.4×	128 0.2×	213 0.4×	299 0.7×	967 2.5×	10	2.6k
Bernard F. Andruss United States	14	701 0.8×	264 0.4×	78 0.2×	197 0.5×	325 0.9×	23	1.5k
Aaron Avivi Israel	27	1.2k 1.3×	402 0.6×	416 0.8×	345 0.8×	165 0.4×	61	2.2k
Jacques Montagne France	22	1.7k 1.9×	121 0.2×	181 0.4×	380 0.9×	898 2.4×	42	2.9k
Halyna R. Shcherbata Germany	27	1.8k 2.0×	800 1.3×	54 0.1×	280 0.7×	422 1.1×	58	2.4k
John Reece-Hoyes United States	32	2.8k 3.0×	230 0.4×	174 0.4×	475 1.1×	81 0.2×	57	3.4k

Countries citing papers authored by Pablo Wappner

Since Specialization

Citations

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

Fields of papers citing papers by Pablo Wappner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Wappner

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

All Works

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20 of 20 papers shown

Sorianello, Eleonora, et al.. (2024). The exocyst complex controls multiple events in the pathway of regulated exocytosis. eLife. 12.

Sorianello, Eleonora, et al.. (2023). The exocyst complex controls multiple events in the pathway of regulated exocytosis. eLife. 12.

Aguilera, Milton Osmar, et al.. (2022). FKBP8 is a novel molecule that participates in the regulation of the autophagic pathway. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1869(5). 119212–119212. 14 indexed citations

Valko, Ayelén, et al.. (2021). Adaptation to hypoxia in Drosophila melanogaster requires autophagy. Autophagy. 18(4). 909–920. 14 indexed citations

Romero, Nuria M., et al.. (2020). The immunophilin Zonda controls regulated exocytosis in endocrine and exocrine tissues. Traffic. 22(4). 111–122. 3 indexed citations

Katz, Maximiliano J., et al.. (2020). Context-specific functions of Notch in Drosophila blood cell progenitors. Developmental Biology. 462(1). 101–115. 19 indexed citations

Gándara, Lautaro & Pablo Wappner. (2018). Metabo-Devo: A metabolic perspective of development. Mechanisms of Development. 154. 12–23. 22 indexed citations

Melani, Mariana, Ayelén Valko, Nuria M. Romero, et al.. (2017). Zonda is a novel early component of the autophagy pathway inDrosophila. Molecular Biology of the Cell. 28(22). 3070–3081. 14 indexed citations

Simpson, Peter, Betty Eipper, Maximiliano J. Katz, et al.. (2015). Striking Oxygen Sensitivity of the Peptidylglycine α-Amidating Monooxygenase (PAM) in Neuroendocrine Cells. Journal of Biological Chemistry. 290(41). 24891–24901. 22 indexed citations

10.

Katz, Maximiliano J., et al.. (2014). TheDrosophilainsulin-degrading enzyme restricts growth by modulating the PI3K pathway in a cell-autonomous manner. Molecular Biology of the Cell. 25(6). 916–924. 27 indexed citations

11.

Centanin, Lázaro, et al.. (2010). Oxygen Sensing in Drosophila: Multiple Isoforms of the Prolyl Hydroxylase Fatiga Have Different Capacity to Regulate HIFα/Sima. PLoS ONE. 5(8). e12390–e12390. 18 indexed citations

12.

Centanin, Lázaro, Andrés Dekanty, Thomas A. Gorr, & Pablo Wappner. (2009). S12-02 Oxygen-dependent plasticity of the Drosophila tracheal system. Mechanisms of Development. 126. S12–S12. 3 indexed citations

13.

Centanin, Lázaro, Andrés Dekanty, Nuria M. Romero, et al.. (2008). Cell Autonomy of HIF Effects in Drosophila: Tracheal Cells Sense Hypoxia and Induce Terminal Branch Sprouting. Developmental Cell. 14(4). 547–558. 92 indexed citations

14.

Dekanty, Andrés, Lázaro Centanin, & Pablo Wappner. (2007). Role of the hypoxia–response pathway on cell size determination and growth control. Developmental Biology. 306(1). 339–339. 5 indexed citations

15.

Gorr, Thomas A., Max Gassmann, & Pablo Wappner. (2006). Sensing and responding to hypoxia via HIF in model invertebrates. Journal of Insect Physiology. 52(4). 349–364. 127 indexed citations

16.

Rojas, Diego, Lázaro Centanin, Marcelo Antonelli, et al.. (2006). Cloning of hif-1α and hif-2α and mRNA expression pattern during development in zebrafish. Gene Expression Patterns. 7(3). 339–345. 81 indexed citations

17.

Bocca, Silvia N., Mariana Muzzopappa, Susana Silberstein, & Pablo Wappner. (2001). Occurrence of a Putative SCF Ubiquitin Ligase Complex in Drosophila. Biochemical and Biophysical Research Communications. 286(2). 357–364. 23 indexed citations

18.

Wappner, Pablo, et al.. (1998). Regulation of theDrosophilabHLH-PAS Protein Sima by Hypoxia: Functional Evidence for Homology with Mammalian HIF-1α. Biochemical and Biophysical Research Communications. 249(3). 811–816. 61 indexed citations

19.

Shilo, Ben‐Zion, Limor Gabay, L Glazer, et al.. (1997). Branching morphogenesis in the Drosophila tracheal system.. PubMed. 62. 241–7. 28 indexed citations

20.

Zelzer, Elazar, Pablo Wappner, & Ben‐Zion Shilo. (1997). The PAS domain confers target gene specificity of DrosophilabHLH/PAS proteins. Genes & Development. 11(16). 2079–2089. 117 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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