Cordula Schulz

2.4k total citations · 1 hit paper
25 papers, 1.8k citations indexed

About

Cordula Schulz is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Cordula Schulz has authored 25 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Immunology. Recurrent topics in Cordula Schulz's work include Developmental Biology and Gene Regulation (16 papers), Neurobiology and Insect Physiology Research (8 papers) and Invertebrate Immune Response Mechanisms (6 papers). Cordula Schulz is often cited by papers focused on Developmental Biology and Gene Regulation (16 papers), Neurobiology and Insect Physiology Research (8 papers) and Invertebrate Immune Response Mechanisms (6 papers). Cordula Schulz collaborates with scholars based in United States, Germany and France. Cordula Schulz's co-authors include Margaret T. Fuller, D. Leanne Jones, Amy A. Kiger, Diethard Tautz, Salli I. Tazuke, Cricket G. Wood, Reinhard Schröder, Christian M. Wolff, Yue Qian and Benjamin B. Parrott and has published in prestigious journals such as Science, Neuron and PLoS ONE.

In The Last Decade

Cordula Schulz

24 papers receiving 1.8k citations

Hit Papers

Stem Cell Self-Renewal Specified by JAK-STAT Activation i... 2001 2026 2009 2017 2001 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cordula Schulz United States 18 1.3k 435 390 340 259 25 1.8k
Xiaoqing Song China 17 1.5k 1.1× 298 0.7× 351 0.9× 380 1.1× 300 1.2× 38 1.9k
Eli Arama Israel 23 1.5k 1.1× 207 0.5× 217 0.6× 346 1.0× 497 1.9× 33 1.9k
Halyna R. Shcherbata Germany 27 1.8k 1.4× 280 0.6× 422 1.1× 288 0.8× 267 1.0× 58 2.4k
Dennis McKearin United States 24 2.6k 2.0× 678 1.6× 335 0.9× 536 1.6× 444 1.7× 27 3.1k
Mary A. Lilly United States 26 1.7k 1.3× 422 1.0× 401 1.0× 160 0.5× 646 2.5× 39 2.3k
Leonie M. Quinn Australia 22 1.4k 1.1× 177 0.4× 254 0.7× 384 1.1× 331 1.3× 50 1.8k
Steven X. Hou United States 26 1.2k 0.9× 244 0.6× 636 1.6× 1.0k 3.0× 345 1.3× 59 2.3k
Rongwen Xi China 24 1.5k 1.1× 345 0.8× 733 1.9× 1.1k 3.1× 322 1.2× 54 2.4k
Allison J. Bardin France 22 1.6k 1.2× 408 0.9× 446 1.1× 474 1.4× 897 3.5× 33 2.3k
Dániel Kirilly United States 11 716 0.5× 166 0.4× 332 0.9× 235 0.7× 207 0.8× 12 975

Countries citing papers authored by Cordula Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Cordula Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cordula Schulz

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

All Works

20 of 20 papers shown
1.
Schulz, Cordula. (2022). Employing the CRISPR Technology for Studying Notch Signaling in the Male Gonad of Drosophila melanogaster. Methods in molecular biology. 2472. 159–172. 1 indexed citations
2.
Qian, Yue, et al.. (2020). G-protein signaling is required for increasing germline stem cell division frequency in response to mating in Drosophila males. Scientific Reports. 10(1). 3888–3888. 11 indexed citations
3.
Qian, Yue, et al.. (2019). Notch and Delta are required for survival of the germline stem cell lineage in testes of Drosophila melanogaster. PLoS ONE. 14(9). e0222471–e0222471. 17 indexed citations
5.
6.
7.
Perdiguero, Elisa Gomez, Cordula Schulz, Laurent Chorro, et al.. (2012). A lineage of myeloid cells independent of Myb and hematopoietic stem cells. Immunology. 137(6077). 2–2. 4 indexed citations
8.
Parrott, Benjamin B., et al.. (2012). Control of Germline Stem Cell Division Frequency – A Novel, Developmentally Regulated Role for Epidermal Growth Factor Signaling. PLoS ONE. 7(5). e36460–e36460. 32 indexed citations
9.
Parrott, Benjamin B., et al.. (2011). Nucleoporin98-96 Function Is Required for Transit Amplification Divisions in the Germ Line of Drosophila melanogaster. PLoS ONE. 6(9). e25087–e25087. 23 indexed citations
10.
Sarkar, Angshuman, et al.. (2007). Antagonistic Roles of Rac and Rho in Organizing the Germ Cell Microenvironment. Current Biology. 17(14). 1253–1258. 110 indexed citations
11.
Schulz, Cordula, et al.. (2007). An Approach for Immunofluorescence of Drosophila S2 Cells: Figure 1.. Cold Spring Harbor Protocols. 2007(6). pdb.prot4760–pdb.prot4760. 7 indexed citations
12.
Schulz, Cordula. (2007). In Situ Hybridization to Drosophila Testes: Figure 1.. Cold Spring Harbor Protocols. 2007(8). pdb.prot4764–pdb.prot4764. 4 indexed citations
13.
Karsten, Stanislav L., Tzu‐Kang Sang, Lauren Gehman, et al.. (2006). A Genomic Screen for Modifiers of Tauopathy Identifies Puromycin-Sensitive Aminopeptidase as an Inhibitor of Tau-Induced Neurodegeneration. Neuron. 51(5). 549–560. 112 indexed citations
14.
Schulz, Cordula, Amy A. Kiger, Salli I. Tazuke, et al.. (2004). A Misexpression Screen Reveals Effects of bag-of-marbles and TGFβ Class Signaling on the Drosophila Male Germ-Line Stem Cell Lineage. Genetics. 167(2). 707–723. 147 indexed citations
15.
Kiger, Amy A., et al.. (2001). Stem Cell Self-Renewal Specified by JAK-STAT Activation in Response to a Support Cell Cue. Science. 294(5551). 2542–2545. 532 indexed citations breakdown →
16.
Schulz, Cordula, Lucía Perezgasga, & Margaret T. Fuller. (2001). Genetic analysis of dPsa, the Drosophila orthologue of puromycin-sensitive aminopeptidase, suggests redundancy of aminopeptidases. Development Genes and Evolution. 211(12). 581–588. 24 indexed citations
17.
Schulz, Cordula, Reinhard Schröder, Bernhard Hausdorf, Christian M. Wolff, & Diethard Tautz. (1998). A caudal homologue in the short germ band beetle Tribolium shows similarities to both, the Drosophila and the vertebrate caudal expression patterns. Development Genes and Evolution. 208(5). 283–289. 67 indexed citations
18.
Schulz, Cordula & Diethard Tautz. (1995). Zygotic caudal regulation by hunchback and its role in abdominal segment formation of the Drosophila embryo. Development. 121(4). 1023–1028. 66 indexed citations
19.
Schulz, Cordula & Diethard Tautz. (1994). Autonomous concentration-dependent activation and repression of Krüppel by hunchback in the Drosophila embryo. Development. 120(10). 3043–3049. 66 indexed citations
20.
Grabner, Manfred, Andreas Bachmann, Jörg Striessnig, et al.. (1994). Insect calcium channels. FEBS Letters. 339(1-2). 189–194. 35 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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