Anoop Kavirayani

1.8k total citations · 1 hit paper
24 papers, 1.0k citations indexed

About

Anoop Kavirayani is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Anoop Kavirayani has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Immunology and 4 papers in Genetics. Recurrent topics in Anoop Kavirayani's work include Immune Cell Function and Interaction (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Ubiquitin and proteasome pathways (3 papers). Anoop Kavirayani is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Ubiquitin and proteasome pathways (3 papers). Anoop Kavirayani collaborates with scholars based in Austria, United States and Germany. Anoop Kavirayani's co-authors include Juergen A. Knoblich, Thomas R. Burkard, Christian Krauditsch, Zhenming Guo, Marko Repic, Shan Bian, Joshua A. Bagley, Oded Foreman, Leonard D. Shultz and Bruce Gott and has published in prestigious journals such as Nature Medicine, The EMBO Journal and Blood.

In The Last Decade

Anoop Kavirayani

22 papers receiving 1.0k citations

Hit Papers

Genetically engineered cerebral organoids model brain tum... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anoop Kavirayani Austria 13 426 277 230 169 152 24 1.0k
Leyuan Ma United States 15 566 1.3× 584 2.1× 516 2.2× 267 1.6× 94 0.6× 30 1.5k
Frances Weis‐Garcia United States 11 847 2.0× 180 0.6× 192 0.8× 95 0.6× 69 0.5× 14 1.3k
Takuya Nojima Japan 16 378 0.9× 754 2.7× 199 0.9× 135 0.8× 55 0.4× 28 1.3k
Marco Bestagno Italy 25 800 1.9× 462 1.7× 552 2.4× 121 0.7× 93 0.6× 51 1.9k
Allan Jensen United States 21 555 1.3× 289 1.0× 169 0.7× 133 0.8× 53 0.3× 37 1.6k
Christopher Bebbington United States 20 599 1.4× 618 2.2× 551 2.4× 151 0.9× 122 0.8× 35 1.7k
Ryan W. Feathers United States 12 638 1.5× 340 1.2× 122 0.5× 67 0.4× 79 0.5× 20 1.3k
Frans Hochstenbach Netherlands 18 767 1.8× 856 3.1× 229 1.0× 130 0.8× 132 0.9× 25 1.8k
Kathryn Miller‐Jensen United States 19 852 2.0× 531 1.9× 251 1.1× 303 1.8× 75 0.5× 41 1.8k

Countries citing papers authored by Anoop Kavirayani

Since Specialization
Citations

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

Fields of papers citing papers by Anoop Kavirayani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anoop Kavirayani

This figure shows the co-authorship network connecting the top 25 collaborators of Anoop Kavirayani. A scholar is included among the top collaborators of Anoop Kavirayani 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 Anoop Kavirayani. Anoop Kavirayani 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.
Sisó, Sílvia, Anoop Kavirayani, Suzana S. Couto, et al.. (2024). Trends and Challenges of the Modern Pathology Laboratory for Biopharmaceutical Research Excellence. Toxicologic Pathology. 53(1). 5–20.
2.
Jäger, Roland, Stefan H. Geyer, Anoop Kavirayani, et al.. (2023). Effects of Tulp4 deficiency on murine embryonic development and adult phenotype. Microscopy Research and Technique. 87(4). 854–866.
3.
Hagelkrüys, Astrid, Jasmin Taubenschmid, Anoop Kavirayani, et al.. (2022). The HUSH complex controls brain architecture and protocadherin fidelity. Science Advances. 8(44). eabo7247–eabo7247. 16 indexed citations
4.
Jonsson, Gustav, Luiza Deszcz, Jorge Almagro, et al.. (2021). The ubiquitin ligase HOIL-1L regulates immune responses by interacting with linear ubiquitin chains. iScience. 24(11). 103241–103241. 4 indexed citations
5.
Heimel, Patrick, Stefan H. Geyer, Anoop Kavirayani, et al.. (2021). Cross-Modality Imaging of Murine Tumor Vasculature—a Feasibility Study. Molecular Imaging and Biology. 23(6). 874–893. 12 indexed citations
6.
Nivarthi, Harini, Andrea Majoros, Eva Hug, et al.. (2021). Hematopoietic expression of a chimeric murine‐human CALR oncoprotein allows the assessment of anti‐CALR antibody immunotherapies in vivo. American Journal of Hematology. 96(6). 698–707. 8 indexed citations
7.
Deszcz, Luiza, Anoop Kavirayani, David Hoffmann, et al.. (2020). Site‐specific ubiquitination of the E3 ligase HOIP regulates apoptosis and immune signaling. The EMBO Journal. 39(24). e103303–e103303. 8 indexed citations
8.
Heimel, Patrick, Anoop Kavirayani, Martin Glösmann, et al.. (2020). Multimodality imaging beyond CLEM: Showcases of combined in-vivo preclinical imaging and ex-vivo microscopy to detect murine mural vascular lesions. Methods in cell biology. 162. 389–415. 8 indexed citations
9.
Bian, Shan, Marko Repic, Zhenming Guo, et al.. (2018). Genetically engineered cerebral organoids model brain tumor formation. Nature Methods. 15(8). 631–639. 313 indexed citations breakdown →
10.
Wöhner, Miriam, Martina Minnich, Hiromi Tagoh, et al.. (2018). Precocious expression of Blimp1 in B cells causes autoimmune disease with increased self‐reactive plasma cells. The EMBO Journal. 38(2). 1–19. 23 indexed citations
11.
Dumigan, Amy, Florian Ebner, Anoop Kavirayani, et al.. (2017). Natural killer cell-intrinsic type I IFN signaling controls Klebsiella pneumoniae growth during lung infection. PLoS Pathogens. 13(11). e1006696–e1006696. 66 indexed citations
12.
Wirnsberger, Gerald, Florian Zwolanek, Tomoko Asaoka, et al.. (2016). Inhibition of CBLB protects from lethal Candida albicans sepsis. Nature Medicine. 22(8). 915–923. 87 indexed citations
13.
Asaoka, Tomoko, Jorge Almagro, Alexander Schleiffer, et al.. (2016). Linear ubiquitination by LUBEL has a role in Drosophila heat stress response. EMBO Reports. 17(11). 1624–1640. 31 indexed citations
14.
Hosur, Vishnu, Melissa L. Cox, Lisa Burzenski, et al.. (2013). Retrotransposon Insertion in the T-cell Acute Lymphocytic Leukemia 1 (Tal1) Gene Is Associated with Severe Renal Disease and Patchy Alopecia in Hairpatches (Hpt) Mice. PLoS ONE. 8(1). e53426–e53426. 5 indexed citations
15.
Hosur, Vishnu, Anoop Kavirayani, Bonnie Lyons, et al.. (2012). Dystrophin and dysferlin double mutant mice: a novel model for rhabdomyosarcoma. Cancer Genetics. 205(5). 232–241. 31 indexed citations
16.
Kavirayani, Anoop, John P. Sundberg, & Oded Foreman. (2011). Primary Neoplasms of Bones in Mice. Veterinary Pathology. 49(1). 182–205. 14 indexed citations
17.
Tung, David, et al.. (2011). Anti-Inflammatory and Immunomodulatory Effects of Bortezomib in Various in vivo Models. Pharmacology. 88(1-2). 100–113. 17 indexed citations
18.
Tatarov, Ivan, Aruna Panda, Keyata N. Thompson, et al.. (2011). Effect of magnetic fields on tumor growth and viability.. PubMed. 61(4). 339–45. 59 indexed citations
20.
Guzman, David Sánchez-Migallón, Joerg Mayer, Robert J. McCarthy, et al.. (2006). Pacemaker Implantation in a Ferret (Mustela putorius furo) With Third-Degree Atrioventricular Block. Veterinary Clinics of North America Exotic Animal Practice. 9(3). 677–687. 8 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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