David Padrón

471 total citations
9 papers, 379 citations indexed

About

David Padrón is a scholar working on Molecular Biology, Surgery and Nature and Landscape Conservation. According to data from OpenAlex, David Padrón has authored 9 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Nature and Landscape Conservation. Recurrent topics in David Padrón's work include Cellular transport and secretion (2 papers), Pancreatic function and diabetes (2 papers) and Glycosylation and Glycoproteins Research (1 paper). David Padrón is often cited by papers focused on Cellular transport and secretion (2 papers), Pancreatic function and diabetes (2 papers) and Glycosylation and Glycoproteins Research (1 paper). David Padrón collaborates with scholars based in United States, Mexico and Russia. David Padrón's co-authors include Michael G. Roth, Ying Jie Wang, Masaya Yamamoto, Helen L. Yin, Jin Wang, Xibin Liao, Xiao‐Song Xie, Jef K. De Brabander, Edward Pfeiler and Mitsuo Sato and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Cancer Research.

In The Last Decade

David Padrón

9 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Padrón United States	8	253	139	42	37	36	9	379
Keiji Miura Japan	10	205 0.8×	35 0.3×	36 0.9×	73 2.0×	11 0.3×	12	386
Chansey J. Veinotte Canada	7	236 0.9×	222 1.6×	14 0.3×	50 1.4×	10 0.3×	12	366
Reiko Nishigaki Japan	4	320 1.3×	37 0.3×	20 0.5×	176 4.8×	12 0.3×	4	657
Liza L. Cox Australia	10	292 1.2×	48 0.3×	56 1.3×	30 0.8×	18 0.5×	12	484
Sean Porazinski United Kingdom	15	287 1.1×	109 0.8×	10 0.2×	40 1.1×	4 0.1×	23	466
Keiichi Sakakibara Japan	10	345 1.4×	83 0.6×	11 0.3×	86 2.3×	6 0.2×	16	546
Tomikazu Arita Japan	8	245 1.0×	181 1.3×	71 1.7×	132 3.6×	11 0.3×	11	486
Tal Varsano Israel	10	380 1.5×	128 0.9×	27 0.6×	43 1.2×	6 0.2×	11	495
David M. Standiford United States	9	427 1.7×	274 2.0×	17 0.4×	31 0.8×	47 1.3×	12	557
О. Е. Черепанова Russia	7	243 1.0×	82 0.6×	17 0.4×	103 2.8×	10 0.3×	39	444

Countries citing papers authored by David Padrón

Since Specialization

Citations

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

Fields of papers citing papers by David Padrón

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Padrón

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

All Works

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9 of 9 papers shown

Baddeley, David, Andrew E. S. Barentine, Zach Marin, et al.. (2020). python-microscopy/python-microscopy: Release 20.11.25. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Komurov, Kakajan, David Padrón, Tzuling Cheng, et al.. (2010). Comprehensive Mapping of the Human Kinome to Epidermal Growth Factor Receptor Signaling. Journal of Biological Chemistry. 285(27). 21134–21142. 27 indexed citations

Padrón, David, Mitsuo Sato, Jerry W. Shay, et al.. (2007). Epidermal Growth Factor Receptors with Tyrosine Kinase Domain Mutations Exhibit Reduced Cbl Association, Poor Ubiquitylation, and Down-regulation but Are Efficiently Internalized. Cancer Research. 67(16). 7695–7702. 41 indexed citations

Padrón, David, et al.. (2005). Phospholipase D2 Is Required for Efficient Endocytic Recycling of Transferrin Receptors. Molecular Biology of the Cell. 17(2). 598–606. 50 indexed citations

Xie, Xiao‐Song, David Padrón, Xibin Liao, et al.. (2004). Salicylihalamide A Inhibits the V0 Sector of the V-ATPase through a Mechanism Distinct from Bafilomycin A1. Journal of Biological Chemistry. 279(19). 19755–19763. 94 indexed citations

Padrón, David, Ying Jie Wang, Masaya Yamamoto, Helen L. Yin, & Michael G. Roth. (2003). Phosphatidylinositol phosphate 5-kinase Iβ recruits AP-2 to the plasma membrane and regulates rates of constitutive endocytosis. The Journal of Cell Biology. 162(4). 693–701. 117 indexed citations

Pfeiler, Edward, David Padrón, & Roy E. Crabtree. (2000). Growth rate, age and size of bonefish from the Gulf of California. Journal of Fish Biology. 56(2). 448–453. 22 indexed citations

Padrón, David, Michael E. Bizeau, & Jeffrey R. Hazel. (2000). Is fluid-phase endocytosis conserved in hepatocytes of species acclimated and adapted to different temperatures?. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 278(2). R529–R536. 13 indexed citations

Padrón, David, et al.. (1996). Changes in lipid composition during metamorphosis of bonefish (Albula sp.) leptocephali. Lipids. 31(5). 513–519. 14 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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