Lino L. Teichmann

1.8k total citations · 1 hit paper
26 papers, 1.2k citations indexed

About

Lino L. Teichmann is a scholar working on Hematology, Genetics and Immunology. According to data from OpenAlex, Lino L. Teichmann has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hematology, 11 papers in Genetics and 11 papers in Immunology. Recurrent topics in Lino L. Teichmann's work include Chronic Myeloid Leukemia Treatments (8 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Immune Cell Function and Interaction (5 papers). Lino L. Teichmann is often cited by papers focused on Chronic Myeloid Leukemia Treatments (8 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Immune Cell Function and Interaction (5 papers). Lino L. Teichmann collaborates with scholars based in Germany, United States and Austria. Lino L. Teichmann's co-authors include Mark J. Shlomchik, Michael Kashgarian, Yasuyuki Saito, Sofia V. Gearty, Stephanie Halene, Markus G. Manz, Karolina Palucka, Jan Martínek, Richard A. Flavell and Tim Willinger and has published in prestigious journals such as Nature Communications, Blood and Immunity.

In The Last Decade

Lino L. Teichmann

21 papers receiving 1.2k citations

Hit Papers

Development and function ... 2014 2026 2018 2022 2014 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
Lino L. Teichmann Germany 10 675 230 216 199 185 26 1.2k
Kerstin Büchner Germany 9 853 1.3× 199 0.9× 205 0.9× 94 0.5× 171 0.9× 10 1.3k
Amy E. Lin United States 18 501 0.7× 304 1.3× 453 2.1× 39 0.2× 162 0.9× 32 1.3k
Felice Rivellese United Kingdom 21 713 1.1× 154 0.7× 245 1.1× 452 2.3× 109 0.6× 54 1.4k
Teresina Laragione United States 17 385 0.6× 216 0.9× 495 2.3× 330 1.7× 90 0.5× 45 1.0k
Maria I. Zervou Greece 22 666 1.0× 152 0.7× 235 1.1× 353 1.8× 70 0.4× 88 1.3k
Helga D. Manthey Germany 12 719 1.1× 91 0.4× 257 1.2× 81 0.4× 73 0.4× 15 1.0k
Jinxia Zhao China 18 269 0.4× 204 0.9× 294 1.4× 433 2.2× 137 0.7× 78 985
Jun‐Ichi Masuyama Japan 15 424 0.6× 186 0.8× 243 1.1× 115 0.6× 74 0.4× 33 896
Shaobo Su China 19 719 1.1× 549 2.4× 318 1.5× 177 0.9× 83 0.4× 32 1.5k
Verna C. Gibbs United States 19 462 0.7× 285 1.2× 336 1.6× 61 0.3× 358 1.9× 25 1.3k

Countries citing papers authored by Lino L. Teichmann

Since Specialization
Citations

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

Fields of papers citing papers by Lino L. Teichmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lino L. Teichmann. 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 Lino L. Teichmann. The network helps show where Lino L. Teichmann may publish in the future.

Co-authorship network of co-authors of Lino L. Teichmann

This figure shows the co-authorship network connecting the top 25 collaborators of Lino L. Teichmann. A scholar is included among the top collaborators of Lino L. Teichmann 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 Lino L. Teichmann. Lino L. Teichmann 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.
Brümmendorf, Tim H., Steffen Koschmieder, Martin Grießhammer, et al.. (2025). NLRP3-induced systemic inflammation controls the development of JAK2V617F mutant myeloproliferative neoplasms. Nature Communications. 16(1). 10591–10591.
2.
Luksch, Hella, David Sprott, Éva M. Szegő, et al.. (2025). Tissue inflammation induced by constitutively active STING is mediated by enhanced TNF signaling. eLife. 14.
3.
Marung, Hartwig, Reinhard Strametz, Thomas Neusius, et al.. (2025). The second victim phenomenon among German emergency medical technicians: a cross-sectional study based on the SeViD questionnaire (SeViD-VIII). BMC Emergency Medicine. 25(1). 137–137.
4.
Hawwari, Ibrahim, Lino L. Teichmann, Damien Bertheloot, et al.. (2024). Platelet transcription factors license the pro-inflammatory cytokine response of human monocytes. EMBO Molecular Medicine. 16(8). 1901–1929. 8 indexed citations
6.
Jilg, Stefanie, Juliana Schwaab, Katja Sockel, et al.. (2024). MoReLife – real-life data support the potential of momelotinib as a safe and effective treatment option for cytopenic myelofibrosis patients. Annals of Hematology. 103(10). 4065–4077. 1 indexed citations
9.
Schneider, Rebekka K., et al.. (2022). Nestin expression in osteocytes following myeloablation and during bone marrow metastasis. British Journal of Haematology. 200(5). 643–651. 2 indexed citations
10.
11.
Elbracht, Miriam, Robert Meyer, Deniz Gezer, et al.. (2021). Germline variants in DNA repair genes, including BRCA1/2, may cause familial myeloproliferative neoplasms. Blood Advances. 5(17). 3373–3376. 8 indexed citations
12.
Boor, Peter, Claus Moritz Graef, Eva Bartok, et al.. (2021). Intercellular cGAMP transmission induces innate immune activation and tissue inflammation in Trex1 deficiency. iScience. 24(8). 102833–102833. 4 indexed citations
13.
Boor, Peter, Andreas Buneß, Rebekka K. Schneider, et al.. (2020). Macrophage frequency in the bone marrow correlates with morphologic subtype of myeloproliferative neoplasm. Annals of Hematology. 100(1). 97–104. 9 indexed citations
14.
Teichmann, Lino L., Jaime L. Cullen, Michael Kashgarian, et al.. (2015). Local Triggering of the ICOS Coreceptor by CD11c+ Myeloid Cells Drives Organ Inflammation in Lupus. Immunity. 42(3). 552–565. 42 indexed citations
15.
Rongvaux, Anthony, Tim Willinger, Jan Martínek, et al.. (2014). Development and function of human innate immune cells in a humanized mouse model. Nature Biotechnology. 32(4). 364–372. 540 indexed citations breakdown →
16.
Teichmann, Lino L., Dominik Schenten, Ruslan Medzhitov, Michael Kashgarian, & Mark J. Shlomchik. (2013). Signals via the Adaptor MyD88 in B Cells and DCs Make Distinct and Synergistic Contributions to Immune Activation and Tissue Damage in Lupus. Immunity. 38(3). 528–540. 131 indexed citations
17.
Ahuja, Anupama, Lino L. Teichmann, Haowei Wang, et al.. (2011). An Acquired Defect in IgG-Dependent Phagocytosis Explains the Impairment in Antibody-Mediated Cellular Depletion in Lupus. The Journal of Immunology. 187(7). 3888–3894. 34 indexed citations
18.
Teichmann, Lino L., Michelle Ols, Michael Kashgarian, et al.. (2010). Dendritic Cells in Lupus Are Not Required for Activation of T and B Cells but Promote Their Expansion, Resulting in Tissue Damage. Immunity. 33(6). 967–978. 143 indexed citations
19.
Teichmann, Lino L. & Martin Fleck. (2010). Lipidstoffwechsel aktuell: statininduzierte Myopathien. Zeitschrift für Rheumatologie. 69(8). 696–701.
20.
Begonja, Antonija Jurak, Lino L. Teichmann, Jörg Geiger, Stepan Gambaryan, & Ulrich Walter. (2006). Platelet regulation by NO/cGMP signaling and NAD(P)H oxidase-generated ROS. Blood Cells Molecules and Diseases. 36(2). 166–170. 49 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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