James Wohlschlegel

866 total citations
17 papers, 637 citations indexed

About

James Wohlschlegel is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, James Wohlschlegel has authored 17 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Plant Science and 3 papers in Cell Biology. Recurrent topics in James Wohlschlegel's work include Genomics and Chromatin Dynamics (4 papers), Plant Molecular Biology Research (3 papers) and RNA Research and Splicing (3 papers). James Wohlschlegel is often cited by papers focused on Genomics and Chromatin Dynamics (4 papers), Plant Molecular Biology Research (3 papers) and RNA Research and Splicing (3 papers). James Wohlschlegel collaborates with scholars based in United States, China and Canada. James Wohlschlegel's co-authors include David P. Toczyski, Jaime López-Mosqueda, Zophonı́as O. Jónsson, Nancy L. Maas, Lisa D. Eli, John D. Venable, Jens Nielsen, John R. Yates, Ajay A. Vashisht and Renata Usaite and has published in prestigious journals such as Nature, Nature Communications and Genes & Development.

In The Last Decade

James Wohlschlegel

17 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Wohlschlegel United States 11 519 175 158 54 48 17 637
Jennifer Paulson United States 6 575 1.1× 242 1.4× 138 0.9× 41 0.8× 24 0.5× 6 786
Stefanie Wanka Switzerland 6 812 1.6× 147 0.8× 63 0.4× 58 1.1× 20 0.4× 6 904
Fredrik Noborn Sweden 15 419 0.8× 314 1.8× 26 0.2× 57 1.1× 50 1.0× 26 530
Teresa K. Barth Germany 8 860 1.7× 69 0.4× 202 1.3× 12 0.2× 37 0.8× 14 969
Kacper B. Rogala United Kingdom 11 457 0.9× 229 1.3× 49 0.3× 10 0.2× 41 0.9× 13 574
Marcel Tanudji Australia 13 507 1.0× 123 0.7× 88 0.6× 13 0.2× 47 1.0× 14 577
Rainis Venta Estonia 10 506 1.0× 319 1.8× 94 0.6× 31 0.6× 8 0.2× 10 585
Sally W.T. Cheung Canada 7 545 1.1× 413 2.4× 48 0.3× 38 0.7× 31 0.6× 7 709
Agata Smialowska Sweden 10 420 0.8× 49 0.3× 45 0.3× 19 0.4× 20 0.4× 13 504
Christian Feller Germany 10 660 1.3× 44 0.3× 105 0.7× 16 0.3× 51 1.1× 12 780

Countries citing papers authored by James Wohlschlegel

Since Specialization
Citations

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

Fields of papers citing papers by James Wohlschlegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Wohlschlegel

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

All Works

17 of 17 papers shown
1.
Xue, Yan, Shuya Wang, Zhenhui Zhong, et al.. (2025). REM transcription factors and GDE1 shape the DNA methylation landscape through the recruitment of RNA polymerase IV transcription complexes. Nature Cell Biology. 27(7). 1136–1147. 2 indexed citations
2.
Damianov, Andrey, Chia-Ho Lin, Jeffrey Huang, et al.. (2024). The splicing regulators RBM5 and RBM10 are subunits of the U2 snRNP engaged with intron branch sites on chromatin. Molecular Cell. 84(8). 1496–1511.e7. 11 indexed citations
3.
Aguilera, Kristina Y., Thuc Le, Rana Riahi, et al.. (2022). Porcupine Inhibition Disrupts Mitochondrial Function and Homeostasis in WNT Ligand–Addicted Pancreatic Cancer. Molecular Cancer Therapeutics. 21(6). 936–947. 7 indexed citations
4.
Yang, Rui, Ilia A. Droujinine, Namrata D. Udeshi, et al.. (2022). A genetic model for in vivo proximity labelling of the mammalian secretome. Open Biology. 12(8). 220149–220149. 17 indexed citations
5.
Sha, Jihui, et al.. (2022). Nicotine Affects Multiple Biological Processes in EpiDermTM Organotypic Tissues and Keratinocyte Monolayers. Atmosphere. 13(5). 810–810. 6 indexed citations
6.
Wendimu, Menbere, Mohammed Alqinyah, Stephen A. Vella, et al.. (2021). RGS10 physically and functionally interacts with STIM2 and requires store-operated calcium entry to regulate pro-inflammatory gene expression in microglia. Cellular Signalling. 83. 109974–109974. 10 indexed citations
7.
Liu, Qing, Qin Wang, Weixian Deng, et al.. (2017). Molecular basis for blue light-dependent phosphorylation of Arabidopsis cryptochrome 2. Nature Communications. 8(1). 15234–15234. 93 indexed citations
8.
Huang, Chengyang, Trent Su, Yong Xue, et al.. (2017). Cbx3 maintains lineage specificity during neural differentiation. Genes & Development. 31(3). 241–246. 35 indexed citations
9.
Ryu, Moon‐Suhn, James Wohlschlegel, & Caroline C. Philpott. (2015). Pcbp1 and Ncoa4 Regulate the Flux of Iron through Ferritin in Developing Erythroid Cells. Blood. 126(23). 404–404. 1 indexed citations
10.
Philpott, Caroline C., et al.. (2015). Special Delivery: The Role of Iron Chaperones in the Distribution of Iron in Developing Red Cells. Blood. 126(23). SCI–45. 1 indexed citations
11.
Vashisht, Ajay A., et al.. (2013). Rad53 Downregulates Mitotic Gene Transcription by Inhibiting the Transcriptional Activator Ndd1. Molecular and Cellular Biology. 34(4). 725–738. 12 indexed citations
12.
Caro, Elena, Hume Stroud, Max Greenberg, et al.. (2012). The SET-Domain Protein SUVR5 Mediates H3K9me2 Deposition and Silencing at Stimulus Response Genes in a DNA Methylation–Independent Manner. PLoS Genetics. 8(10). e1002995–e1002995. 40 indexed citations
13.
Chen, Xiao‐Fen, Lynn Lehmann, Ajay A. Vashisht, et al.. (2012). Mediator and SAGA Have Distinct Roles in Pol II Preinitiation Complex Assembly and Function. Cell Reports. 2(5). 1061–1067. 25 indexed citations
14.
Thivierge, Caroline, Mathieu N. Flamand, Craig C. Mello, et al.. (2011). Tudor domain ERI-5 tethers an RNA-dependent RNA polymerase to DCR-1 to potentiate endo-RNAi. Nature Structural & Molecular Biology. 19(1). 90–97. 50 indexed citations
15.
López-Mosqueda, Jaime, Nancy L. Maas, Zophonı́as O. Jónsson, et al.. (2010). Damage-induced phosphorylation of Sld3 is important to block late origin firing. Nature. 467(7314). 479–483. 147 indexed citations
16.
Usaite, Renata, James Wohlschlegel, John D. Venable, et al.. (2008). Characterization of Global Yeast Quantitative Proteome Data Generated from the Wild-Type and Glucose Repression Saccharomyces cerevisiae Strains: The Comparison of Two Quantitative Methods. Journal of Proteome Research. 7(1). 266–275. 85 indexed citations
17.
Aase, Karin, James Wohlschlegel, Niina Veitonmäki, et al.. (2006). p130‐Angiomotin associates to actin and controls endothelial cell shape. FEBS Journal. 273(9). 2000–2011. 95 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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