Tristan Lerbs

591 total citations
8 papers, 233 citations indexed

About

Tristan Lerbs is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Dermatology. According to data from OpenAlex, Tristan Lerbs has authored 8 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Dermatology. Recurrent topics in Tristan Lerbs's work include Dermatologic Treatments and Research (2 papers), Cancer Cells and Metastasis (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Tristan Lerbs is often cited by papers focused on Dermatologic Treatments and Research (2 papers), Cancer Cells and Metastasis (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Tristan Lerbs collaborates with scholars based in United States, Germany and Taiwan. Tristan Lerbs's co-authors include Lu Cui, Gerlinde Wernig, Shih‐Yu Chen, Pablo Domizi, Yong-Hun Kim, Jin‐Wook Lee, Paola Betancur, Garry P. Nolan, Sydney Gordon and Christoph Kahlert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and International Journal of Cancer.

In The Last Decade

Tristan Lerbs

8 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tristan Lerbs United States 7 97 67 62 51 29 8 233
Adeline Blandinières France 11 113 1.2× 73 1.1× 25 0.4× 25 0.5× 25 0.9× 20 261
Shaoqing Wu China 10 85 0.9× 34 0.5× 29 0.5× 25 0.5× 27 0.9× 30 255
Alice Wang United States 9 79 0.8× 63 0.9× 75 1.2× 37 0.7× 22 0.8× 15 316
Gaurav Kumar United States 9 153 1.6× 104 1.6× 59 1.0× 62 1.2× 28 1.0× 10 314
Tingyue Zhou China 9 133 1.4× 22 0.3× 126 2.0× 118 2.3× 37 1.3× 9 306
Shuya Kaneko Japan 8 78 0.8× 28 0.4× 71 1.1× 50 1.0× 32 1.1× 32 261
Jun Qian China 10 173 1.8× 104 1.6× 49 0.8× 51 1.0× 29 1.0× 23 322
Nicholas Coupe United Kingdom 7 72 0.7× 43 0.6× 60 1.0× 139 2.7× 14 0.5× 19 220
Estelle Carminita United States 6 77 0.8× 32 0.5× 83 1.3× 83 1.6× 36 1.2× 12 238

Countries citing papers authored by Tristan Lerbs

Since Specialization
Citations

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

Fields of papers citing papers by Tristan Lerbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tristan Lerbs

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

All Works

8 of 8 papers shown
1.
Cui, Lu, Zhuoqing Fang, Tristan Lerbs, et al.. (2023). Innate immune cell activation causes lung fibrosis in a humanized model of long COVID. Proceedings of the National Academy of Sciences. 120(10). e2217199120–e2217199120. 29 indexed citations
2.
Cui, Lu, Ignacio Moraga, Tristan Lerbs, et al.. (2020). Tuning MPL signaling to influence hematopoietic stem cell differentiation and inhibit essential thrombocythemia progenitors. Proceedings of the National Academy of Sciences. 118(2). 20 indexed citations
3.
Lerbs, Tristan, Lu Cui, Megan E. King, et al.. (2020). CD47 prevents the elimination of diseased fibroblasts in scleroderma. JCI Insight. 5(16). 25 indexed citations
4.
Lerbs, Tristan, Lu Cui, Atif Saleem, et al.. (2020). Expansion of Bone Precursors through Jun as a Novel Treatment for Osteoporosis-Associated Fractures. Stem Cell Reports. 14(4). 603–613. 17 indexed citations
5.
Cui, Lu, Shih‐Yu Chen, Tristan Lerbs, et al.. (2020). Activation of JUN in fibroblasts promotes pro-fibrotic programme and modulates protective immunity. Nature Communications. 11(1). 2795–2795. 82 indexed citations
6.
Borrelli, Mimi R., Julia T. Garcia, Michelle Griffin, et al.. (2020). Abstract 186: CD36 Antagonism Minimizes Skin Scarring By Inhibiting JUN-dependent Fibrotic Pathways Within Fibrogenic Fibroblast Subpopulations. Plastic & Reconstructive Surgery Global Open. 8(4S). 126–127. 2 indexed citations
7.
Lerbs, Tristan, Savita Bisht, Sebastian Schölch, et al.. (2017). Inhibition of Six1 affects tumour invasion and the expression of cancer stem cell markers in pancreatic cancer. BMC Cancer. 17(1). 249–249. 26 indexed citations
8.
Kahlert, Christoph, Tristan Lerbs, Mathieu Pecqueux, et al.. (2015). Overexpression of SIX1 is an independent prognostic marker in stage IIII colorectal cancer. International Journal of Cancer. 137(9). 2104–2113. 32 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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