John A. Schiel

546 total citations
10 papers, 424 citations indexed

About

John A. Schiel is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, John A. Schiel has authored 10 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cell Biology, 3 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in John A. Schiel's work include Cellular transport and secretion (8 papers), Microtubule and mitosis dynamics (8 papers) and Erythrocyte Function and Pathophysiology (3 papers). John A. Schiel is often cited by papers focused on Cellular transport and secretion (8 papers), Microtubule and mitosis dynamics (8 papers) and Erythrocyte Function and Pathophysiology (3 papers). John A. Schiel collaborates with scholars based in United States, Lithuania and United Kingdom. John A. Schiel's co-authors include Rytis Prekeris, David Castle, Glenn C. Simon, Andreas Hoenger, Mary Morphew, Evan Reid, Christine C. Wu, Yoko Ito, Robert J. Mason and Kelly A. Correll and has published in prestigious journals such as Nature Cell Biology, Journal of Cell Science and Current Opinion in Cell Biology.

In The Last Decade

John A. Schiel

10 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John A. Schiel United States 8 317 222 71 51 28 10 424
Mickaël Machicoane France 4 396 1.2× 266 1.2× 64 0.9× 38 0.7× 5 0.2× 6 483
Roy G. H. P. van Heesbeen Netherlands 6 409 1.3× 420 1.9× 53 0.7× 15 0.3× 10 0.4× 6 538
James B. Reinecke United States 10 129 0.4× 174 0.8× 69 1.0× 24 0.5× 15 0.5× 20 324
Jacques T. Weissman United States 7 582 1.8× 495 2.2× 104 1.5× 91 1.8× 22 0.8× 9 739
Anupma Jha United States 10 234 0.7× 252 1.1× 37 0.5× 19 0.4× 15 0.5× 13 328
Thorsten Baust Germany 6 248 0.8× 246 1.1× 31 0.4× 22 0.4× 5 0.2× 6 335
Nicole Beuret Switzerland 8 169 0.5× 188 0.8× 37 0.5× 70 1.4× 47 1.7× 15 342
Christopher C. Ford United Kingdom 7 84 0.3× 435 2.0× 38 0.5× 62 1.2× 36 1.3× 7 546
Dalu Xu United States 8 329 1.0× 243 1.1× 50 0.7× 42 0.8× 5 0.2× 8 405
Michael P. Tobin United States 8 148 0.5× 186 0.8× 38 0.5× 18 0.4× 13 0.5× 14 300

Countries citing papers authored by John A. Schiel

Since Specialization
Citations

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

Fields of papers citing papers by John A. Schiel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Schiel. 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 John A. Schiel. The network helps show where John A. Schiel may publish in the future.

Co-authorship network of co-authors of John A. Schiel

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

All Works

10 of 10 papers shown
1.
Schiel, John A., et al.. (2017). FYCO1 regulates accumulation of post-mitotic midbodies by mediating LC3-dependent midbody degradation. Journal of Cell Science. 130(23). 4051–4062. 17 indexed citations
2.
Ito, Yoko, et al.. (2014). Lung fibroblasts accelerate wound closure in human alveolar epithelial cells through hepatocyte growth factor/c-Met signaling. American Journal of Physiology-Lung Cellular and Molecular Physiology. 307(1). L94–L105. 43 indexed citations
3.
Schiel, John A., et al.. (2013). Endocytic transport and cytokinesis: from regulation of the cytoskeleton to midbody inheritance. Trends in Cell Biology. 23(7). 319–327. 50 indexed citations
4.
Schiel, John A., et al.. (2012). FIP3-endosome-dependent formation of the secondary ingression mediates ESCRT-III recruitment during cytokinesis. Nature Cell Biology. 14(10). 1068–1078. 114 indexed citations
5.
Schiel, John A. & Rytis Prekeris. (2012). Membrane dynamics during cytokinesis. Current Opinion in Cell Biology. 25(1). 92–98. 60 indexed citations
6.
Schiel, John A., et al.. (2011). Endocytic membrane fusion and buckling-induced microtubule severing mediate cell abscission. Journal of Cell Science. 124(9). 1411–1424. 88 indexed citations
7.
Schiel, John A. & Rytis Prekeris. (2011). ESCRT or Endosomes? Tales of the separation of two daughter Cells. Communicative & Integrative Biology. 4(5). 606–608. 7 indexed citations
8.
Schiel, John A. & Rytis Prekeris. (2011). ESCRT or endosomes?: Tales of the separation of two daughter cells.. PubMed. 4(5). 606–8. 6 indexed citations
9.
Schiel, John A., Kristin Park, Mary Morphew, et al.. (2011). Endocytic membrane fusion and buckling-induced microtubule severing mediate cell abscission. Journal of Cell Science. 124(10). 1769–1769. 5 indexed citations
10.
Schiel, John A. & Rytis Prekeris. (2010). Making the Final Cut — Mechanisms Mediating the Abscission Step of Cytokinesis. The Scientific World JOURNAL. 10. 1424–1434. 34 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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