David J. Thaller

664 total citations
10 papers, 433 citations indexed

About

David J. Thaller is a scholar working on Molecular Biology, Cell Biology and Pathology and Forensic Medicine. According to data from OpenAlex, David J. Thaller has authored 10 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cell Biology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in David J. Thaller's work include Nuclear Structure and Function (8 papers), RNA Research and Splicing (6 papers) and Cellular transport and secretion (3 papers). David J. Thaller is often cited by papers focused on Nuclear Structure and Function (8 papers), RNA Research and Splicing (6 papers) and Cellular transport and secretion (3 papers). David J. Thaller collaborates with scholars based in United States, Netherlands and Germany. David J. Thaller's co-authors include C. Patrick Lusk, Sapan Borah, Jens Jäger, Brant M. Webster, Matteo Allegretti, Paolo Ronchi, Martin Beck, Mary L. Ostrowski, Han-Seob Kim and Megan C. King and has published in prestigious journals such as The Journal of Cell Biology, The EMBO Journal and Molecular Biology of the Cell.

In The Last Decade

David J. Thaller

10 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David J. Thaller United States	10	367	153	38	32	25	10	433
Franziska Rudolph Germany	8	218 0.6×	89 0.6×	34 0.9×	40 1.3×	40 1.6×	12	319
Juyeon Hwang United States	7	255 0.7×	178 1.2×	19 0.5×	15 0.5×	9 0.4×	8	391
Paolo Marchi United Kingdom	10	223 0.6×	57 0.4×	29 0.8×	34 1.1×	102 4.1×	15	333
Akiko Furuno Japan	8	192 0.5×	136 0.9×	9 0.2×	37 1.2×	20 0.8×	11	278
Jordan J. S. VerPlank United States	7	237 0.6×	133 0.9×	16 0.4×	72 2.3×	43 1.7×	10	316
Xiaojun Zhao China	7	121 0.3×	76 0.5×	9 0.2×	14 0.4×	33 1.3×	19	219
Günther Metz Germany	4	404 1.1×	28 0.2×	29 0.8×	10 0.3×	69 2.8×	6	433
Joanna Rowe United Kingdom	6	250 0.7×	199 1.3×	24 0.6×	23 0.7×	92 3.7×	8	353
Carolina García‐Poyatos Switzerland	4	212 0.6×	103 0.7×	8 0.2×	45 1.4×	16 0.6×	4	296
Rocío Sánchez-Alcudia Spain	14	339 0.9×	32 0.2×	19 0.5×	6 0.2×	40 1.6×	18	418

Countries citing papers authored by David J. Thaller

Since Specialization

Citations

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

Fields of papers citing papers by David J. Thaller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Thaller

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

All Works

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10 of 10 papers shown

Borah, Sapan, David J. Thaller, Zhanna Hakhverdyan, et al.. (2021). Heh2/Man1 may be an evolutionarily conserved sensor of NPC assembly state. Molecular Biology of the Cell. 32(15). 1359–1373. 9 indexed citations

Thaller, David J., et al.. (2021). Atg39 selectively captures inner nuclear membrane into lumenal vesicles for delivery to the autophagosome. The Journal of Cell Biology. 220(12). 19 indexed citations

Thaller, David J., et al.. (2020). Direct binding of ESCRT protein Chm7 to phosphatidic acid–rich membranes at nuclear envelope herniations. The Journal of Cell Biology. 220(3). 45 indexed citations

Thaller, David J., Matthew M. Crane, Anton Steen, et al.. (2020). A physicochemical perspective of aging from single-cell analysis of pH, macromolecular and organellar crowding in yeast. eLife. 9. 28 indexed citations

Crane, Matthew M., David J. Thaller, Ankur Mishra, et al.. (2019). Age-dependent deterioration of nuclear pore assembly in mitotic cells decreases transport dynamics. eLife. 8. 61 indexed citations

Barber, Karl W., et al.. (2019). Expression of TorsinA in a heterologous yeast system reveals interactions with lumenal domains of LINC and nuclear pore complex components. Molecular Biology of the Cell. 30(5). 530–541. 10 indexed citations

Thaller, David J., Matteo Allegretti, Sapan Borah, et al.. (2019). An ESCRT-LEM protein surveillance system is poised to directly monitor the nuclear envelope and nuclear transport system. eLife. 8. 85 indexed citations

Thaller, David J. & C. Patrick Lusk. (2018). Fantastic nuclear envelope herniations and where to find them. Biochemical Society Transactions. 46(4). 877–889. 39 indexed citations

Webster, Brant M., et al.. (2016). Chm7 and Heh1 collaborate to link nuclear pore complex quality control with nuclear envelope sealing. The EMBO Journal. 35(22). 2447–2467. 99 indexed citations

10.

Ostrowski, Mary L., et al.. (2001). Cell proliferation in the growing human heart: MIB-1 immunostaining in preterm and term infants at autopsy. Cardiovascular Pathology. 10(3). 119–123. 38 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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