Mangala Srinivas

3.3k total citations
60 papers, 2.7k citations indexed

About

Mangala Srinivas is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Mangala Srinivas has authored 60 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 17 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Immunology. Recurrent topics in Mangala Srinivas's work include Immunotherapy and Immune Responses (12 papers), Nanoparticle-Based Drug Delivery (11 papers) and Advanced MRI Techniques and Applications (11 papers). Mangala Srinivas is often cited by papers focused on Immunotherapy and Immune Responses (12 papers), Nanoparticle-Based Drug Delivery (11 papers) and Advanced MRI Techniques and Applications (11 papers). Mangala Srinivas collaborates with scholars based in Netherlands, United States and United Kingdom. Mangala Srinivas's co-authors include I. Jolanda M. de Vries, Eric T. Ahrens, Carl G. Figdor, Arend Heerschap, Jelena M. Janjic, Luis J. Cruz, Edyta Swider, Penelope A. Morel, David H. Laidlaw and Olga Koshkina and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Mangala Srinivas

59 papers receiving 2.6k citations

Peers

Mangala Srinivas

RNMI

BIOMA

Alain Duperray France

Kwon Seok Chae South Korea

Tammy L. Kalber United Kingdom

Jihong Sun China

Michelle Longmire United States

Rita E. Serda United States

Carlos H. Villa United States

Zhanhong Wu United States

Emilia S. Olson United States

Richard Tsai United States

Alain Duperray France

Mangala Srinivas

855 ×1.0

1.1k ×1.4

330 ×0.5

RNMI

106 ×0.2

BIOMA

787 ×1.8

Citations per year, relative to Mangala Srinivas Mangala Srinivas (= 1×) peers Alain Duperray

Countries citing papers authored by Mangala Srinivas

Since Specialization

Citations

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

Fields of papers citing papers by Mangala Srinivas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mangala Srinivas

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

Vicente, Nuria, Mangala Srinivas, & Oya Tagit. (2025). Perfluorocarbon-Loaded Poly(lactide-co-glycolide) Nanoparticles from Core to Crust: Multifaceted Impact of Surfactant on Particle Ultrastructure, Stiffness, and Cell Uptake. ACS Applied Polymer Materials. 7(5). 2864–2878. 1 indexed citations

Settle, Alexander, et al.. (2025). Using tunable hydrogel microparticles to measure cellular forces. Nature Protocols.

White, Paul B., Alexander H. J. Staal, Cyril Cadiou, et al.. (2023). The internal structure of gadolinium and perfluorocarbon-loaded polymer nanoparticles affects ¹⁹F MRI relaxation times. Nanoscale. 15(44). 18068–18079. 3 indexed citations

Kip, Annemarie, Gerben M. Franssen, Andor Veltien, et al.. (2021). In Vivo PET Imaging of Monocytes Labeled with [89Zr]Zr-PLGA-NH2 Nanoparticles in Tumor and Staphylococcus aureus Infection Models. Cancers. 13(20). 5069–5069. 7 indexed citations

Tagit, Oya, et al.. (2021). Characterization of Intrinsically Radiolabeled Poly(lactic-co-glycolic acid) Nanoparticles for ex Vivo Autologous Cell Labeling and in Vivo Tracking. Bioconjugate Chemistry. 32(8). 1802–1811. 9 indexed citations

Helfer, Brooke, Vladimir Ponomarev, P. Stephen Patrick, et al.. (2021). Options for imaging cellular therapeutics in vivo: a multi-stakeholder perspective. Cytotherapy. 23(9). 757–773. 13 indexed citations

Swider, Edyta, Alexander H. J. Staal, Paul B. White, et al.. (2020). Continuous-Flow Production of Perfluorocarbon-Loaded Polymeric Nanoparticles: From the Bench to Clinic. ACS Applied Materials & Interfaces. 12(44). 49335–49345. 24 indexed citations

Staal, Alexander H. J., K Becker, Oya Tagit, et al.. (2020). In vivo clearance of 19F MRI imaging nanocarriers is strongly influenced by nanoparticle ultrastructure. Biomaterials. 261. 120307–120307. 44 indexed citations

Koshkina, Olga, Guillaume Lajoinie, Francesca Baldelli Bombelli, et al.. (2019). Multicore Liquid Perfluorocarbon‐Loaded Multimodal Nanoparticles for Stable Ultrasound and ¹⁹F MRI Applied to In Vivo Cell Tracking. Advanced Functional Materials. 29(19). 59 indexed citations

10.

Maguire, Mahon L., Eileen McNeill, Ricardo Carnicer, et al.. (2018). Fast, quantitative, murine cardiac 19F MRI/MRS of PFCE-labeled progenitor stem cells and macrophages at 9.4T. PLoS ONE. 13(1). e0190558–e0190558. 18 indexed citations

11.

Fruhwirth, Gilbert O., Manfred Kneilling, I. Jolanda M. de Vries, et al.. (2018). The Potential of In Vivo Imaging for Optimization of Molecular and Cellular Anti-cancer Immunotherapies. Molecular Imaging and Biology. 20(5). 696–704. 30 indexed citations

12.

Swider, Edyta, Olga Koshkina, Jurjen Tel, et al.. (2018). Customizing poly(lactic-co-glycolic acid) particles for biomedical applications. Acta Biomaterialia. 73. 38–51. 250 indexed citations

13.

Herynek, Vı́t, Andrea Gálisová, Mangala Srinivas, et al.. (2017). Pre-Microporation Improves Outcome of Pancreatic Islet Labelling for Optical and 19F MR Imaging. Biological Procedures Online. 19(1). 6–6. 5 indexed citations

14.

Amiri, Houshang, et al.. (2014). Cell tracking using 19F magnetic resonance imaging: Technical aspects and challenges towards clinical applications. European Radiology. 25(3). 726–735. 34 indexed citations

15.

Aarntzen, Erik H.J.G., Mangala Srinivas, F. Bonetto, et al.. (2013). Targeting of 111In-Labeled Dendritic Cell Human Vaccines Improved by Reducing Number of Cells. Clinical Cancer Research. 19(6). 1525–1533. 49 indexed citations

16.

Srinivas, Mangala, et al.. (2013). Formulation and Evaluation of Stavudine Nanoparticles. 3(1). 5 indexed citations

17.

Andralojc, Karolina M., Mangala Srinivas, Maarten Brom, et al.. (2012). Obstacles on the way to the clinical visualisation of beta cells: looking for the Aeneas of molecular imaging to navigate between Scylla and Charybdis. Diabetologia. 55(5). 1247–1257. 51 indexed citations

18.

Bonetto, F., Mangala Srinivas, Arend Heerschap, et al.. (2010). A novel ¹⁹F agent for detection and quantification of human dendritic cells using magnetic resonance imaging. International Journal of Cancer. 129(2). 365–373. 57 indexed citations

19.

Srinivas, Mangala, Erik H.J.G. Aarntzen, Jeff W. M. Bulte, et al.. (2010). Imaging of cellular therapies. Advanced Drug Delivery Reviews. 62(11). 1080–1093. 110 indexed citations

20.

Srinivas, Mangala, Michael S. Turner, Jelena M. Janjic, et al.. (2009). In vivo cytometry of antigen‐specific t cells using ¹⁹F MRI. Magnetic Resonance in Medicine. 62(3). 747–753. 127 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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