Michael Januszyk

10.7k total citations · 5 hit papers
115 papers, 6.2k citations indexed

About

Michael Januszyk is a scholar working on Molecular Biology, Rehabilitation and Surgery. According to data from OpenAlex, Michael Januszyk has authored 115 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 34 papers in Rehabilitation and 27 papers in Surgery. Recurrent topics in Michael Januszyk's work include Wound Healing and Treatments (33 papers), Mesenchymal stem cell research (24 papers) and Dermatologic Treatments and Research (13 papers). Michael Januszyk is often cited by papers focused on Wound Healing and Treatments (33 papers), Mesenchymal stem cell research (24 papers) and Dermatologic Treatments and Research (13 papers). Michael Januszyk collaborates with scholars based in United States, India and Germany. Michael Januszyk's co-authors include Geoffrey C. Gurtner, Michael T. Longaker, Zeshaan N. Maan, Victor W. Wong, Dominik Duscher, Alexander J. Whittam, Michael Sorkin, Jason P. Glotzbach, Robert C. Rennert and Michael S. Hu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Michael Januszyk

107 papers receiving 6.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Single-cell RNA-seq reveals ectopic and aberrant lung-resident cell populations in idiopathic pulmonary fibrosis

2020 704 citations Taylor Adams, Jonas C. Schupp et al. Science Advances profile →
Identification and isolation of a dermal lineage with intrinsic fibrogenic potential

2015 492 citations Yuval Rinkevich, Graham G. Walmsley et al. Science profile →
Preventing Engrailed-1 activation in fibroblasts yields wound regeneration without scarring

2021 404 citations Shamik Mascharak, Heather E. desJardins-Park et al. Science profile →
Focal adhesion kinase links mechanical force to skin fibrosis via inflammatory signaling

2011 378 citations Victor W. Wong, Kristine C. Rustad et al. profile →
Multi-omic analysis reveals divergent molecular events in scarring and regenerative wound healing

2022 144 citations Shamik Mascharak, Heather E. Talbott et al. Cell stem cell profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michael Januszyk	2.2k	1.7k	1.4k	1.3k	896	115	6.2k
Yaojiong Wu	1.9k 0.9×	2.5k 1.5×	1.7k 1.3×	3.3k 2.6×	1.2k 1.3×	89	7.4k
Oren M. Tepper	922 0.4×	3.3k 1.9×	2.2k 1.6×	1.4k 1.1×	520 0.6×	88	7.3k
Dominik Duscher	1.6k 0.8×	1.1k 0.6×	1.4k 1.0×	1.3k 1.0×	792 0.9×	154	4.5k
Zeshaan N. Maan	1.6k 0.7×	830 0.5×	949 0.7×	932 0.7×	634 0.7×	105	3.8k
Robert C. Rennert	1.1k 0.5×	709 0.4×	1.1k 0.8×	1.2k 1.0×	541 0.6×	133	4.0k
Riichiro Abe	702 0.3×	1.5k 0.9×	692 0.5×	876 0.7×	315 0.4×	167	6.5k
Beate Eckes	939 0.4×	2.2k 1.3×	605 0.4×	311 0.2×	561 0.6×	117	7.1k
Benjamin Lévi	518 0.2×	1.7k 1.0×	1.9k 1.4×	1.3k 1.0×	505 0.6×	152	6.4k
Jason P. Glotzbach	928 0.4×	655 0.4×	770 0.6×	810 0.6×	537 0.6×	65	2.8k
Edward I. Chang	703 0.3×	681 0.4×	3.0k 2.2×	602 0.5×	486 0.5×	171	5.1k

Countries citing papers authored by Michael Januszyk

Since Specialization

Citations

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

Fields of papers citing papers by Michael Januszyk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Januszyk

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

All Works

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20 of 20 papers shown

Chen, Kellen, Seungsoo Kim, Katerina Kraft, et al.. (2026). Fibroblasts of disparate developmental origins harbor anatomically variant scarring potential. Cell. 189(3). 783–799.e20.

Guo, Jason L., Jung-Ki Yoon, John Lu, et al.. (2025). Histological signatures map anti-fibrotic factors in mouse and human lungs. Nature. 641(8064). 993–1004. 9 indexed citations

Griffin, Michelle, Dario Boffelli, Nicholas Guardino, et al.. (2025). Growth arrest specific–6 and angiotoxin receptor–like signaling drive oral regenerative wound repair. Science Translational Medicine. 17(805). eadk2101–eadk2101.

Guo, Jason, Shamik Mascharak, Deshka S. Foster, et al.. (2024). Hematoxylin and Eosin Architecture Uncovers Clinically Divergent Niches in Pancreatic Cancer. Tissue Engineering Part A. 30(19-20). 605–613.

Cholok, David, Michael Januszyk, Christoph Leuze, et al.. (2024). HoloDIEP—Faster and More Accurate Intraoperative DIEA Perforator Mapping Using a Novel Mixed Reality Tool. Journal of Reconstructive Microsurgery. 41(4). 318–329. 3 indexed citations

Liang, Norah E., Jennifer Parker, John Lu, et al.. (2024). Understanding the Foreign Body Response via Single-Cell Meta-Analysis. Biology. 13(7). 540–540. 2 indexed citations

Mascharak, Shamik, Heather E. Talbott, Michael Januszyk, et al.. (2022). Multi-omic analysis reveals divergent molecular events in scarring and regenerative wound healing. Cell stem cell. 29(2). 315–327.e6. 144 indexed citations breakdown →

Dániel, Bence, Julia A. Belk, Stefanie L. Meier, et al.. (2022). Macrophage inflammatory and regenerative response periodicity is programmed by cell cycle and chromatin state. Molecular Cell. 83(1). 121–138.e7. 19 indexed citations

Boulton, Andrew J.M., David G. Armstrong, Magnus Löndahl, et al.. (2022). New Evidence-Based Therapies for Complex Diabetic Foot Wounds. 2022(2). 1–23. 34 indexed citations

10.

Mascharak, Shamik, Heather E. desJardins-Park, Michael F. Davitt, et al.. (2021). Preventing Engrailed-1 activation in fibroblasts yields wound regeneration without scarring. Science. 372(6540). 404 indexed citations breakdown →

11.

Maan, Zeshaan N., Yuval Rinkevich, Janos A. Barrera, et al.. (2021). Epidermal-Derived Hedgehog Signaling Drives Mesenchymal Proliferation during Digit Tip Regeneration. Journal of Clinical Medicine. 10(18). 4261–4261. 1 indexed citations

12.

Chen, Kellen, Dominic Henn, Dharshan Sivaraj, et al.. (2021). Mechanical Strain Drives Myeloid Cell Differentiation Toward Proinflammatory Subpopulations. Advances in Wound Care. 11(9). 466–478. 10 indexed citations

13.

Adams, Taylor, Jonas C. Schupp, Sergio Poli, et al.. (2020). Single-cell RNA-seq reveals ectopic and aberrant lung-resident cell populations in idiopathic pulmonary fibrosis. Science Advances. 6(28). eaba1983–eaba1983. 704 indexed citations breakdown →

14.

Whittam, Alexander J., Zeshaan N. Maan, Dominik Duscher, et al.. (2018). Small molecule inhibition of dipeptidyl peptidase-4 enhances bone marrow progenitor cell function and angiogenesis in diabetic wounds. Translational research. 205. 51–63. 31 indexed citations

15.

Kosaraju, Revanth, Robert C. Rennert, Zeshaan N. Maan, et al.. (2016). Adipose-Derived Stem Cell-Seeded Hydrogels Increase Endogenous Progenitor Cell Recruitment and Neovascularization in Wounds. Tissue Engineering Part A. 22(3-4). 295–305. 58 indexed citations

16.

Rinkevich, Yuval, Graham G. Walmsley, Michael S. Hu, et al.. (2015). Identification and isolation of a dermal lineage with intrinsic fibrogenic potential. Science. 348(6232). aaa2151–aaa2151. 492 indexed citations breakdown →

17.

Rinkevich, Yuval, Daniel T. Montoro, Ethan G. Muhonen, et al.. (2014). Clonal analysis reveals nerve-dependent and independent roles on mammalian hind limb tissue maintenance and regeneration. Proceedings of the National Academy of Sciences. 111(27). 9846–9851. 67 indexed citations

18.

Rennert, Robert C., Michael Sorkin, Ravi K. Garg, Michael Januszyk, & Geoffrey C. Gurtner. (2013). Cellular Response to a Novel Fetal Acellular Collagen Matrix: Implications for Tissue Regeneration. International Journal of Biomaterials. 2013. 1–9. 28 indexed citations

19.

Wong, Victor W., Kristine C. Rustad, Michael G. Galvez, et al.. (2010). Engineered Pullulan–Collagen Composite Dermal Hydrogels Improve Early Cutaneous Wound Healing. Tissue Engineering Part A. 17(5-6). 631–644. 122 indexed citations

20.

Thangarajah, Hariharan, Dachun Yao, Edward I. Chang, et al.. (2009). The molecular basis for impaired hypoxia-induced VEGF expression in diabetic tissues. Proceedings of the National Academy of Sciences. 106(32). 13505–13510. 361 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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