Kerstin Nündel

683 total citations
18 papers, 510 citations indexed

About

Kerstin Nündel is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Kerstin Nündel has authored 18 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 6 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Kerstin Nündel's work include interferon and immune responses (9 papers), Immune Response and Inflammation (9 papers) and Immune Cell Function and Interaction (8 papers). Kerstin Nündel is often cited by papers focused on interferon and immune responses (9 papers), Immune Response and Inflammation (9 papers) and Immune Cell Function and Interaction (8 papers). Kerstin Nündel collaborates with scholars based in United States, France and Germany. Kerstin Nündel's co-authors include Ann Marshak‐Rothstein, Patricia Busto, Krishna Moody, Katherine A. Fitzgerald, Shruti Sharma, Mark J. Shlomchik, Chandra Mohan, Jennie Chan, Ribhu Nayar and Ramon Bonegio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Kerstin Nündel

16 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kerstin Nündel United States 11 445 157 110 70 67 18 510
Kerstin Engel Germany 6 341 0.8× 217 1.4× 179 1.6× 81 1.2× 85 1.3× 8 474
Erinn S. Kellner United States 7 343 0.8× 98 0.6× 178 1.6× 59 0.8× 22 0.3× 11 477
Joseph Mears United States 4 213 0.5× 105 0.7× 55 0.5× 56 0.8× 60 0.9× 5 356
Valeria Caneparo Italy 12 218 0.5× 182 1.2× 70 0.6× 46 0.7× 21 0.3× 20 355
Olof Berggren Sweden 9 258 0.6× 72 0.5× 176 1.6× 41 0.6× 17 0.3× 14 367
William Loo United States 9 249 0.6× 68 0.4× 79 0.7× 33 0.5× 26 0.4× 11 382
Alexandre Bignon France 10 354 0.8× 64 0.4× 44 0.4× 73 1.0× 17 0.3× 14 444
Tuba Turul Türkiye 8 200 0.4× 175 1.1× 37 0.3× 78 1.1× 34 0.5× 13 407
Carlos Alvarez‐Navarro Spain 9 214 0.5× 150 1.0× 218 2.0× 76 1.1× 17 0.3× 9 420
Kathryn J. A. Steel United Kingdom 9 335 0.8× 110 0.7× 180 1.6× 69 1.0× 24 0.4× 15 494

Countries citing papers authored by Kerstin Nündel

Since Specialization
Citations

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

Fields of papers citing papers by Kerstin Nündel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kerstin Nündel

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

All Works

18 of 18 papers shown
1.
2.
Stavre, Zheni, Jung‐Min Kim, Yeon-Suk Yang, et al.. (2023). Schnurri-3 inhibition suppresses bone and joint damage in models of rheumatoid arthritis. Proceedings of the National Academy of Sciences. 120(19). e2218019120–e2218019120. 19 indexed citations
3.
Pellerin, Alex, Kei Yasuda, Kerstin Nündel, et al.. (2021). Monoallelic IRF5 deficiency in B cells prevents murine lupus. JCI Insight. 6(15). 21 indexed citations
4.
Derr, Alan, Zhiru Guo, Kerstin Nündel, et al.. (2021). Human nasal wash RNA-Seq reveals distinct cell-specific innate immune responses in influenza versus SARS-CoV-2. JCI Insight. 6(22). 18 indexed citations
5.
Nündel, Kerstin, et al.. (2020). TLR9 dependent regulation of AXL expression impacts migration of autoreactive B cells. The Journal of Immunology. 204(1_Supplement). 218.15–218.15.
6.
Nündel, Kerstin & Ann Marshak‐Rothstein. (2019). The role of nucleic acid sensors and type I IFNs in patient populations and animal models of autoinflammation. Current Opinion in Immunology. 61. 74–79. 5 indexed citations
7.
Nündel, Kerstin, Patricia Busto, Jaime L. Cullen, et al.. (2019). Cross-Reactive Antigen Expressed by B6 Splenocytes Drives Receptor Editing and Marginal Zone Differentiation of IgG2a-Reactive AM14 Vκ8 B Cells. The Journal of Immunology. 203(8). 2055–2062. 1 indexed citations
8.
Pawaria, Sudesh, Kerstin Nündel, Patricia Busto, et al.. (2019). Role of Interferon‐γ–Producing Th1 Cells in a Murine Model of Type I Interferon–Independent Autoinflammation Resulting From DNase II Deficiency. Arthritis & Rheumatology. 72(2). 359–370. 10 indexed citations
9.
Sindhava, Vishal, Michael A. Oropallo, Krishna Moody, et al.. (2017). A TLR9-dependent checkpoint governs B cell responses to DNA-containing antigens. Journal of Clinical Investigation. 127(5). 1651–1663. 65 indexed citations
10.
Bossaller, Lukas, Anette Christ, Karin Pelka, et al.. (2016). TLR9 Deficiency Leads to Accelerated Renal Disease and Myeloid Lineage Abnormalities in Pristane-Induced Murine Lupus. The Journal of Immunology. 197(4). 1044–1053. 51 indexed citations
11.
Baum, Rebecca, Kerstin Nündel, Sudesh Pawaria, et al.. (2016). Synergy between Hematopoietic and Radioresistant Stromal Cells Is Required for Autoimmune Manifestations of DNase II−/−IFNaR−/− Mice. The Journal of Immunology. 196(3). 1348–1354. 11 indexed citations
12.
Pawaria, Sudesh, Shruti Sharma, Rebecca Baum, et al.. (2016). Taking the STING out of TLR-driven autoimmune diseases: good, bad, or indifferent?. Journal of Leukocyte Biology. 101(1). 121–126. 10 indexed citations
13.
Pawaria, Sudesh, Krishna Moody, Patricia Busto, et al.. (2015). Cutting Edge: DNase II Deficiency Prevents Activation of Autoreactive B Cells by Double-Stranded DNA Endogenous Ligands. The Journal of Immunology. 194(4). 1403–1407. 43 indexed citations
14.
Nündel, Kerstin, Arthur L. Shaffer, Krishna Moody, et al.. (2015). Cell-Intrinsic Expression of TLR9 in Autoreactive B Cells Constrains BCR/TLR7-Dependent Responses. The Journal of Immunology. 194(6). 2504–2512. 57 indexed citations
15.
Pawaria, Sudesh, Krishna Moody, Patricia Busto, et al.. (2015). An unexpected role for RNA-sensing toll-like receptors in a murine model of DNA accrual.. Clinical and Experimental Rheumatology. 33(4 Suppl 92). S70–3. 5 indexed citations
16.
Sharma, Shruti, Allison M. Campbell, Jennie Chan, et al.. (2015). Suppression of systemic autoimmunity by the innate immune adaptor STING. Proceedings of the National Academy of Sciences. 112(7). E710–7. 139 indexed citations
17.
Yasuda, Kei, Kerstin Nündel, Amanda A. Watkins, et al.. (2013). Phenotype and function of B cells and dendritic cells from interferon regulatory factor 5-deficient mice with and without a mutation in DOCK2. International Immunology. 25(5). 295–306. 44 indexed citations
18.
Nündel, Kerstin, Patricia Busto, Michelle Debatis, & Ann Marshak‐Rothstein. (2013). The role of Bruton's tyrosine kinase in the development and BCR/TLR-dependent activation of AM14 rheumatoid factor B cells. Journal of Leukocyte Biology. 94(5). 865–875. 11 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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