Ross A. Marklein

2.0k total citations
22 papers, 1.5k citations indexed

About

Ross A. Marklein is a scholar working on Genetics, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Ross A. Marklein has authored 22 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 11 papers in Biomedical Engineering and 7 papers in Molecular Biology. Recurrent topics in Ross A. Marklein's work include Mesenchymal stem cell research (12 papers), 3D Printing in Biomedical Research (10 papers) and Cancer Cells and Metastasis (6 papers). Ross A. Marklein is often cited by papers focused on Mesenchymal stem cell research (12 papers), 3D Printing in Biomedical Research (10 papers) and Cancer Cells and Metastasis (6 papers). Ross A. Marklein collaborates with scholars based in United States. Ross A. Marklein's co-authors include Jason A. Burdick, Steven R. Bauer, Robert L. Mauck, Brendon M. Baker, Ashwin S. Nathan, Robert B. Metter, Albert O. Gee, Jessica Lo Surdo, Matthew W. Klinker and Cheng‐Hong Wei and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Biomaterials.

In The Last Decade

Ross A. Marklein

19 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ross A. Marklein United States	15	817	646	459	309	288	22	1.5k
José R. García United States	14	783 1.0×	409 0.6×	276 0.6×	152 0.5×	256 0.9×	22	1.4k
Federico Tortelli Italy	12	636 0.8×	463 0.7×	322 0.7×	176 0.6×	399 1.4×	15	1.5k
Susan X. Hsiong United States	16	1.1k 1.4×	738 1.1×	609 1.3×	149 0.5×	300 1.0×	19	1.8k
Rukmani Sridharan Ireland	13	800 1.0×	427 0.7×	493 1.1×	242 0.8×	342 1.2×	17	1.7k
Xinming Tong United States	27	973 1.2×	514 0.8×	269 0.6×	221 0.7×	366 1.3×	49	1.9k
Asha Shekaran United States	11	751 0.9×	431 0.7×	248 0.5×	98 0.3×	308 1.1×	12	1.3k
Vanessa L.S. LaPointe Netherlands	22	925 1.1×	388 0.6×	353 0.8×	105 0.3×	575 2.0×	67	1.8k
Christopher M. Madl United States	21	1.3k 1.6×	732 1.1×	386 0.8×	177 0.6×	539 1.9×	31	2.4k
Claudia Loebel United States	21	921 1.1×	505 0.8×	340 0.7×	144 0.5×	452 1.6×	37	2.0k
Thomas P. Richardson United States	7	745 0.9×	763 1.2×	508 1.1×	144 0.5×	641 2.2×	8	1.7k

Countries citing papers authored by Ross A. Marklein

Since Specialization

Citations

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

Fields of papers citing papers by Ross A. Marklein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ross A. Marklein. 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 Ross A. Marklein. The network helps show where Ross A. Marklein may publish in the future.

Co-authorship network of co-authors of Ross A. Marklein

This figure shows the co-authorship network connecting the top 25 collaborators of Ross A. Marklein. A scholar is included among the top collaborators of Ross A. Marklein 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 Ross A. Marklein. Ross A. Marklein 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

Marklein, Ross A., et al.. (2025). High throughput morphological screening identifies chemically defined media for mesenchymal stromal cells that enhances proliferation and supports maintenance of immunomodulatory function. Stem Cell Research & Therapy. 16(1). 125–125.

Hines, Kelly M., et al.. (2024). High throughput screening of mesenchymal stromal cell morphological response to inflammatory signals for bioreactor-based manufacturing of extracellular vesicles that modulate microglia. Bioactive Materials. 37. 153–171. 7 indexed citations

Bitarafan, Sama, et al.. (2024). MICROGLIA MORPHOLOGICAL RESPONSE TO MESENCHYMAL STROMAL CELL EXTRACELLULAR VESICLES DEMONSTRATES EV THERAPEUTIC POTENTIAL FOR MODULATING NEUROINFLAMMATION. Cytotherapy. 26(6). S73–S73.

Hines, Kelly M., et al.. (2024). Microglia morphological response to mesenchymal stromal cell extracellular vesicles demonstrates EV therapeutic potential for modulating neuroinflammation. Journal of Biological Engineering. 18(1). 58–58.

Moore, Samuel G., et al.. (2023). Development of a Robust Consensus Modeling Approach for Identifying Cellular and Media Metabolites Predictive of Mesenchymal Stromal Cell Potency. Stem Cells. 41(8). 792–808. 12 indexed citations

Klinker, Matthew W., et al.. (2021). Morphological landscapes from high content imaging reveal cytokine priming strategies that enhance mesenchymal stromal cell immunosuppression. Biotechnology and Bioengineering. 119(2). 361–375. 14 indexed citations

Priyadarshani, Priyanka, et al.. (2021). Shape up before you ship out: morphology as a potential critical quality attribute for cellular therapies. Current Opinion in Biomedical Engineering. 20. 100352–100352. 6 indexed citations

Platt, Manu O., et al.. (2021). Metabolomics and cytokine profiling of mesenchymal stromal cells identify markers predictive of T-cell suppression. Cytotherapy. 24(2). 137–148. 17 indexed citations

Marklein, Ross A., et al.. (2021). Priming of MSCs with inflammation-relevant signals affects extracellular vesicle biogenesis, surface markers, and modulation of T cell subsets. 13. 100036–100036. 16 indexed citations

10.

Marklein, Ross A., et al.. (2018). Morphological profiling using machine learning reveals emergent subpopulations of interferon-γ–stimulated mesenchymal stromal cells that predict immunosuppression. Cytotherapy. 21(1). 17–31. 57 indexed citations

11.

Klinker, Matthew W., Ross A. Marklein, Jessica Lo Surdo, Cheng‐Hong Wei, & Steven R. Bauer. (2017). Morphological features of IFN-γ–stimulated mesenchymal stromal cells predict overall immunosuppressive capacity. Proceedings of the National Academy of Sciences. 114(13). E2598–E2607. 144 indexed citations

12.

Marklein, Ross A., Johnny Lam, Murat Güvendiren, Kyung E. Sung, & Steven R. Bauer. (2017). Functionally-Relevant Morphological Profiling: A Tool to Assess Cellular Heterogeneity. Trends in biotechnology. 36(1). 105–118. 53 indexed citations

13.

Lam, Johnny, Ross A. Marklein, José A. Jiménez‐Torres, et al.. (2017). Adaptation of a Simple Microfluidic Platform for High-Dimensional Quantitative Morphological Analysis of Human Mesenchymal Stromal Cells on Polystyrene-Based Substrates. SLAS TECHNOLOGY. 22(6). 646–661. 9 indexed citations

14.

Marklein, Ross A., et al.. (2016). Identification of Predictive Gene Markers for Multipotent Stromal Cell Proliferation. Stem Cells and Development. 25(11). 861–873. 19 indexed citations

15.

Marklein, Ross A., et al.. (2016). High Content Imaging of Early Morphological Signatures Predicts Long Term Mineralization Capacity of Human Mesenchymal Stem Cells upon Osteogenic Induction. Stem Cells. 34(4). 935–947. 73 indexed citations

16.

Ramanan, Vyas, Joshua S. Katz, Murat Güvendiren, et al.. (2010). Photocleavable side groups to spatially alter hydrogel properties and cellular interactions. Journal of Materials Chemistry. 20(40). 8920–8920. 29 indexed citations

17.

Marklein, Ross A. & Jason A. Burdick. (2009). Controlling Stem Cell Fate with Material Design. Advanced Materials. 22(2). 175–189. 199 indexed citations

18.

Carpenedo, Richard L., Andrés M. Bratt‐Leal, Ross A. Marklein, et al.. (2009). Homogeneous and organized differentiation within embryoid bodies induced by microsphere-mediated delivery of small molecules. Biomaterials. 30(13). 2507–2515. 107 indexed citations

19.

Marklein, Ross A. & Jason A. Burdick. (2009). Spatially controlled hydrogel mechanics to modulate stem cell interactions. Soft Matter. 6(1). 136–143. 229 indexed citations

20.

Baker, Brendon M., Albert O. Gee, Robert B. Metter, et al.. (2008). The potential to improve cell infiltration in composite fiber-aligned electrospun scaffolds by the selective removal of sacrificial fibers. Biomaterials. 29(15). 2348–2358. 492 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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