Mark J. Osborn

6.9k total citations · 5 hit papers
72 papers, 4.2k citations indexed

About

Mark J. Osborn is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Mark J. Osborn has authored 72 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 21 papers in Genetics and 14 papers in Cell Biology. Recurrent topics in Mark J. Osborn's work include CRISPR and Genetic Engineering (26 papers), Virus-based gene therapy research (16 papers) and Skin and Cellular Biology Research (13 papers). Mark J. Osborn is often cited by papers focused on CRISPR and Genetic Engineering (26 papers), Virus-based gene therapy research (16 papers) and Skin and Cellular Biology Research (13 papers). Mark J. Osborn collaborates with scholars based in United States, South Korea and United Kingdom. Mark J. Osborn's co-authors include Jakub Tolar, Bruce R. Blazar, David R. Liu, Gregory A. Newby, John E. Wagner, Megan Riddle, Amber McElroy, Ron McElmurry, Lily Xia and Beau R. Webber and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Mark J. Osborn

71 papers receiving 4.1k citations

Hit Papers

5 papers align trajectories

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.

Enhanced prime editing systems by manipulating cellular determinants of editing outcomes

2021 488 citations Peter J. Chen, Jeffrey A. Hussmann et al. Cell profile →
Engineered virus-like particles for efficient in vivo delivery of therapeutic proteins

2022 397 citations Samagya Banskota, Aditya Raguram et al. Cell profile →
Phage-assisted evolution and protein engineering yield compact, efficient prime editors

2023 161 citations Jordan L. Doman, Smriti Pandey et al. Cell profile →
Evolution of an adenine base editor into a small, efficient cytosine base editor with low off-target activity

2022 156 citations Monica E. Neugebauer, Alvin Hsu et al. Nature Biotechnology profile →
Efficient site-specific integration of large genes in mammalian cells via continuously evolved recombinases and prime editing

2024 70 citations Smriti Pandey, Xin D. Gao et al. Nature Biomedical Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark J. Osborn United States	32	2.6k	921	640	593	405	72	4.2k
Véronique Delmas France	32	2.6k 1.0×	433 0.5×	1.1k 1.7×	909 1.5×	60 0.1×	85	4.1k
Eugene Baranov United States	26	1.7k 0.7×	973 1.1×	128 0.2×	973 1.6×	342 0.8×	45	3.9k
Noriyuki Takai Japan	32	1.6k 0.6×	267 0.3×	384 0.6×	765 1.3×	535 1.3×	130	3.5k
Peter B. Armstrong United States	31	1.2k 0.5×	445 0.5×	607 0.9×	187 0.3×	213 0.5×	131	3.2k
Hiroshi Nakagawa United States	49	3.5k 1.4×	358 0.4×	459 0.7×	2.3k 3.9×	31 0.1×	159	6.8k
Tianhua Hu China	17	1.8k 0.7×	433 0.5×	291 0.5×	367 0.6×	55 0.1×	49	3.2k
A. Athanasiadis Greece	27	1.6k 0.6×	211 0.2×	103 0.2×	530 0.9×	178 0.4×	90	2.9k
Sergey I. Nikolaev Switzerland	25	1.7k 0.6×	331 0.4×	118 0.2×	373 0.6×	559 1.4×	53	2.4k
Dorothy R. Pitelka United States	27	1.7k 0.7×	678 0.7×	710 1.1×	747 1.3×	173 0.4×	46	3.6k
Dingyi Wen United States	20	1.4k 0.5×	287 0.3×	170 0.3×	193 0.3×	161 0.4×	34	2.0k

Countries citing papers authored by Mark J. Osborn

Since Specialization

Citations

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

Fields of papers citing papers by Mark J. Osborn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. Osborn. 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 Mark J. Osborn. The network helps show where Mark J. Osborn may publish in the future.

Co-authorship network of co-authors of Mark J. Osborn

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gao, Xin D., Amber McElroy, Smriti Pandey, et al.. (2024). Twin Prime Editing Mediated Exon Skipping/Reinsertion for Restored Collagen VII Expression in Recessive Dystrophic Epidermolysis Bullosa. Journal of Investigative Dermatology. 144(12). 2764–2777.e9. 5 indexed citations

Pandey, Smriti, Xin D. Gao, N Krasnow, et al.. (2024). Efficient site-specific integration of large genes in mammalian cells via continuously evolved recombinases and prime editing. Nature Biomedical Engineering. 9(1). 22–39. 70 indexed citations breakdown →

Osborn, Mark J., et al.. (2024). Wastewater Surveillance of SARS-CoV-2 in Minnesota. Water. 16(4). 541–541. 1 indexed citations

Feser, Colby J., Christopher J. Lees, Daniel Lammers, et al.. (2022). Engineering CRISPR/Cas9 for Multiplexed Recombinant Coagulation Factor Production. International Journal of Molecular Sciences. 23(9). 5090–5090. 1 indexed citations

Banskota, Samagya, Aditya Raguram, Susie Suh, et al.. (2022). Engineered virus-like particles for efficient in vivo delivery of therapeutic proteins. Cell. 185(2). 250–265.e16. 397 indexed citations breakdown →

Osborn, Mark J., et al.. (2022). Revertant Mosaicism in Epidermolysis Bullosa. Biomedicines. 10(1). 114–114. 4 indexed citations

Neugebauer, Monica E., Alvin Hsu, Mandana Arbab, et al.. (2022). Evolution of an adenine base editor into a small, efficient cytosine base editor with low off-target activity. Nature Biotechnology. 41(5). 673–685. 156 indexed citations breakdown →

Chen, Peter J., Jeffrey A. Hussmann, Jun Yan, et al.. (2021). Enhanced prime editing systems by manipulating cellular determinants of editing outcomes. Cell. 184(22). 5635–5652.e29. 488 indexed citations breakdown →

Osborn, Mark J., Gregory A. Newby, Amber McElroy, et al.. (2019). Base Editor Correction of COL7A1 in Recessive Dystrophic Epidermolysis Bullosa Patient-Derived Fibroblasts and iPSCs. Journal of Investigative Dermatology. 140(2). 338–347.e5. 75 indexed citations

10.

Kang, Eungu, Yoon-Myung Kim, Go Hun Seo, et al.. (2019). Phenotype categorization of neurofibromatosis type I and correlation to NF1 mutation types. Journal of Human Genetics. 65(2). 79–89. 38 indexed citations

11.

Nguyễn, Anh Ngọc, Minh Tan Nguyen, Jonghwa Jin, et al.. (2017). Prokaryotic soluble expression and purification of bioactive human fibroblast growth factor 21 using maltose-binding protein. Scientific Reports. 7(1). 16139–16139. 25 indexed citations

12.

Kang, Hyo Jeong, Minh Tan Nguyen, Anh Ngọc Nguyễn, et al.. (2017). Granulocyte colony-stimulating factor (GCSF) fused with Fc Domain produced from E. coli is less effective than Polyethylene Glycol-conjugated GCSF. Scientific Reports. 7(1). 6480–6480. 15 indexed citations

13.

Tolar, Jakub, John A. McGrath, Mark J. Osborn, et al.. (2017). 377 Type VII collagen (C7) expression and chimerism after bone marrow/cord blood transplantation (BMCBT) for severe generalized recessive dystrophic epidermolysis bullosa (RDEB). Journal of Investigative Dermatology. 137(5). S65–S65. 1 indexed citations

14.

Hook, Kristen P., Jakub Tolar, John A. McGrath, et al.. (2017). 308 Bone marrow/cord blood transplantation (BMCBT) ameliorates symptoms in some, but not all, subtypes of severe generalized junctional epidermolysis bullosa (JEB). Journal of Investigative Dermatology. 137(5). S52–S52. 1 indexed citations

15.

Webber, Beau R., Ron McElmurry, Cindy Eide, et al.. (2017). Rapid generation of Col7a1−/− mouse model of recessive dystrophic epidermolysis bullosa and partial rescue via immunosuppressive dermal mesenchymal stem cells. Laboratory Investigation. 97(10). 1218–1224. 29 indexed citations

16.

Veenstra, Rachelle G., Ryan Flynn, Karsten grosse Kreymborg, et al.. (2015). B7-H3 expression in donor T cells and host cells negatively regulates acute graft-versus-host disease lethality. Blood. 125(21). 3335–3346. 55 indexed citations

17.

Osborn, Mark J., Richard Gabriel, Beau R. Webber, et al.. (2014). Fanconi Anemia Gene Editing by the CRISPR/Cas9 System. Human Gene Therapy. 26(2). 114–126. 91 indexed citations

18.

Tolar, Jakub, Lily Xia, Megan Riddle, et al.. (2010). Induced Pluripotent Stem Cells from Individuals with Recessive Dystrophic Epidermolysis Bullosa. Journal of Investigative Dermatology. 131(4). 848–856. 118 indexed citations

19.

Tolar, Jakub, Akemi Ishida‐Yamamoto, Megan Riddle, et al.. (2008). Amelioration of epidermolysis bullosa by transfer of wild-type bone marrow cells. Blood. 113(5). 1167–1174. 125 indexed citations

20.

Osborn, Mark J., et al.. (2008). Targeting of the CNS in MPS-IH Using a Nonviral Transferrin-α-l-iduronidase Fusion Gene Product. Molecular Therapy. 16(8). 1459–1466. 39 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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