Yuval Rinkevich

2.2k total citations · 3 hit papers
33 papers, 1.4k citations indexed

About

Yuval Rinkevich is a scholar working on Rehabilitation, Surgery and Dermatology. According to data from OpenAlex, Yuval Rinkevich has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Rehabilitation, 12 papers in Surgery and 7 papers in Dermatology. Recurrent topics in Yuval Rinkevich's work include Wound Healing and Treatments (23 papers), Dermatologic Treatments and Research (7 papers) and Mesenchymal stem cell research (6 papers). Yuval Rinkevich is often cited by papers focused on Wound Healing and Treatments (23 papers), Dermatologic Treatments and Research (7 papers) and Mesenchymal stem cell research (6 papers). Yuval Rinkevich collaborates with scholars based in Germany, United States and China. Yuval Rinkevich's co-authors include Dongsheng Jiang, Donovan Correa‐Gallegos, Hans‐Günther Machens, Haifeng Ye, Juliane Wannemacher, Simon Christ, Pushkar Ramesh, Samuel Knoedler, Thomas Volz and Ursula Mirastschijski and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yuval Rinkevich

32 papers receiving 1.4k citations

Hit Papers

Milk exosomes-mediated mi... 2022 2026 2023 2024 2022 2023 2025 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuval Rinkevich Germany 20 583 336 334 181 175 33 1.4k
Shamik Mascharak United States 18 696 1.2× 286 0.9× 439 1.3× 273 1.5× 239 1.4× 37 1.7k
Heather E. desJardins-Park United States 11 536 0.9× 181 0.5× 220 0.7× 181 1.0× 182 1.0× 25 1.0k
Robert Nunan United Kingdom 6 868 1.5× 205 0.6× 302 0.9× 268 1.5× 111 0.6× 7 1.4k
Alexander J. Whittam United States 23 796 1.4× 374 1.1× 387 1.2× 351 1.9× 185 1.1× 33 1.7k
Zhicheng Hu China 21 612 1.0× 170 0.5× 396 1.2× 214 1.2× 184 1.1× 57 1.3k
Yingbin Xu China 18 477 0.8× 208 0.6× 305 0.9× 193 1.1× 173 1.0× 29 1.0k
Sun Hyung Kwon United States 11 615 1.1× 187 0.6× 190 0.6× 366 2.0× 142 0.8× 15 1.1k
Xusheng Liu China 20 505 0.9× 174 0.5× 344 1.0× 167 0.9× 203 1.2× 50 1.2k
Betty Laverdet France 6 494 0.8× 154 0.5× 206 0.6× 187 1.0× 135 0.8× 7 1.0k
Wan Xing Hong United States 13 426 0.7× 201 0.6× 395 1.2× 226 1.2× 85 0.5× 25 1.2k

Countries citing papers authored by Yuval Rinkevich

Since Specialization
Citations

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

Fields of papers citing papers by Yuval Rinkevich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuval Rinkevich

This figure shows the co-authorship network connecting the top 25 collaborators of Yuval Rinkevich. A scholar is included among the top collaborators of Yuval Rinkevich 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 Yuval Rinkevich. Yuval Rinkevich 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.
Özcan, Alaz, Tommaso Vicanolo, Véronique Angeli, Yuval Rinkevich, & Andrés Hidalgo. (2025). Structural immunity: immune cells as architects of tissue barriers. Nature reviews. Immunology. 1 indexed citations
2.
Kadri, Safwen, Martin Mück-Häusl, Wei Han, et al.. (2025). A mesothelial differentiation gateway drives fibrosis. Nature Communications. 16(1). 8295–8295.
3.
Xiong, Yuan, Samuel Knoedler, Michael Alfertshofer, et al.. (2025). Mechanisms and therapeutic opportunities in metabolic aberrations of diabetic wounds: a narrative review. Cell Death and Disease. 16(1). 341–341. 18 indexed citations breakdown →
4.
Zhang, Wenqian, Shengming Zhang, Samuel Knoedler, et al.. (2024). Hybrid biomaterial hydrogel loading iRGD&PS double modified lipid nanoparticles ameliorates diabetic wound healing through promoting efferocytosis and glycolysis-related macrophage reprogramming. Chemical Engineering Journal. 497. 154800–154800. 3 indexed citations
5.
Jiang, Dongsheng, Ruoxuan Dai, Samuel Knoedler, et al.. (2024). The Multifaceted Functions of TRPV4 and Calcium Oscillations in Tissue Repair. International Journal of Molecular Sciences. 25(2). 1179–1179. 10 indexed citations
6.
Lin, Yue, et al.. (2024). Organ dependency on fascia connective tissue. American Journal of Physiology-Cell Physiology. 327(2). C357–C361. 1 indexed citations
7.
Dai, Ruoxuan, Ania Stefańska, Meshal Ansari, et al.. (2023). Wound infiltrating adipocytes are not myofibroblasts. Nature Communications. 14(1). 21 indexed citations
8.
Xiong, Yuan, Xiangyu Chu, Tao Yu, et al.. (2023). Reactive Oxygen Species‐Scavenging Nanosystems in the Treatment of Diabetic Wounds. Advanced Healthcare Materials. 12(25). e2300779–e2300779. 123 indexed citations breakdown →
9.
Knoedler, Samuel, Ruoxuan Dai, Leonard Knoedler, et al.. (2023). Fibroblasts – the cellular choreographers of wound healing. Frontiers in Immunology. 14. 1233800–1233800. 58 indexed citations
10.
Correa‐Gallegos, Donovan, Haifeng Ye, Safwen Kadri, et al.. (2023). CD201+ fascia progenitors choreograph injury repair. Nature. 623(7988). 792–802. 46 indexed citations
11.
Ramesh, Pushkar, Ruoxuan Dai, Haifeng Ye, et al.. (2022). Therapeutic Silencing of p120 in Fascia Fibroblasts Ameliorates Tissue Repair. Journal of Investigative Dermatology. 143(5). 854–863.e4. 7 indexed citations
12.
Jiang, Dongsheng, et al.. (2022). Diversity of Fibroblasts and Their Roles in Wound Healing. Cold Spring Harbor Perspectives in Biology. 15(3). a041222–a041222. 33 indexed citations
13.
Wannemacher, Juliane, Simon Christ, Tim Koopmans, et al.. (2022). Neutrophils direct preexisting matrix to initiate repair in damaged tissues. Nature Immunology. 23(4). 518–531. 73 indexed citations
14.
Correa‐Gallegos, Donovan & Yuval Rinkevich. (2021). Cutting into wound repair. FEBS Journal. 289(17). 5034–5048. 18 indexed citations
15.
Wan, Li, Dongsheng Jiang, Donovan Correa‐Gallegos, et al.. (2021). Connexin43 gap junction drives fascia mobilization and repair of deep skin wounds. Matrix Biology. 97. 58–71. 37 indexed citations
16.
Jiang, Dongsheng & Yuval Rinkevich. (2021). Converting fibroblastic fates leads to wound healing without scar. Signal Transduction and Targeted Therapy. 6(1). 332–332. 8 indexed citations
17.
Koopmans, Tim, Pushkar Ramesh, Simon Christ, et al.. (2020). Post-surgical adhesions are triggered by calcium-dependent membrane bridges between mesothelial surfaces. Nature Communications. 11(1). 3068–3068. 60 indexed citations
18.
Jiang, Dongsheng, Simon Christ, Donovan Correa‐Gallegos, et al.. (2020). Injury triggers fascia fibroblast collective cell migration to drive scar formation through N-cadherin. Nature Communications. 11(1). 5653–5653. 96 indexed citations
19.
Tsai, Jonathan M., Rahul Sinha, Jun Seita, et al.. (2018). Surgical adhesions in mice are derived from mesothelial cells and can be targeted by antibodies against mesothelial markers. Science Translational Medicine. 10(469). 91 indexed citations
20.
Jiang, Dongsheng & Yuval Rinkevich. (2018). Defining Skin Fibroblastic Cell Types Beyond CD90. Frontiers in Cell and Developmental Biology. 6. 133–133. 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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