Midhat H. Abdulreda

2.3k total citations
51 papers, 1.8k citations indexed

About

Midhat H. Abdulreda is a scholar working on Surgery, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Midhat H. Abdulreda has authored 51 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surgery, 21 papers in Genetics and 20 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Midhat H. Abdulreda's work include Pancreatic function and diabetes (30 papers), Diabetes and associated disorders (21 papers) and Diabetes Management and Research (16 papers). Midhat H. Abdulreda is often cited by papers focused on Pancreatic function and diabetes (30 papers), Diabetes and associated disorders (21 papers) and Diabetes Management and Research (16 papers). Midhat H. Abdulreda collaborates with scholars based in United States, Sweden and South Korea. Midhat H. Abdulreda's co-authors include Per‐Olof Berggren, Alejandro Caicedo, Rayner Rodriguez‐Diaz, Camillo Ricordi, Vincent T. Moy, Judith Molina, Antonello Pileggi, Itai Gans, Alberto Fachado and R. Damaris Molano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Midhat H. Abdulreda

49 papers receiving 1.8k citations

Peers

Midhat H. Abdulreda
Ronald Dirkx United States
Nathan C. Bingham United States
Hiroko Wakimoto United States
Michael Chen United States
Midhat H. Abdulreda
Citations per year, relative to Midhat H. Abdulreda Midhat H. Abdulreda (= 1×) peers Angela Huebner

Countries citing papers authored by Midhat H. Abdulreda

Since Specialization
Citations

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

Fields of papers citing papers by Midhat H. Abdulreda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Midhat H. Abdulreda. 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 Midhat H. Abdulreda. The network helps show where Midhat H. Abdulreda may publish in the future.

Co-authorship network of co-authors of Midhat H. Abdulreda

This figure shows the co-authorship network connecting the top 25 collaborators of Midhat H. Abdulreda. A scholar is included among the top collaborators of Midhat H. Abdulreda 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 Midhat H. Abdulreda. Midhat H. Abdulreda 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.
Bonnell, J. T., Óscar Garnica, B.M. Watts, et al.. (2024). Supervised Parametric Learning in the Identification of Composite Biomarker Signatures of Type 1 Diabetes in Integrated Parallel Multi-Omics Datasets. Biomedicines. 12(3). 492–492. 2 indexed citations
3.
Chang, Hsin‐Fang, Midhat H. Abdulreda, Per‐Olof Berggren, et al.. (2020). Studying the biology of cytotoxic T lymphocytes in vivo with a fluorescent granzyme B-mTFP knock-in mouse. eLife. 9. 12 indexed citations
4.
Garnica, Óscar, Ernesto Nakayasu, Paul Piehowski, et al.. (2020). Longitudinal proteomics analysis in the immediate microenvironment of islet allografts during progression of rejection. Journal of Proteomics. 223. 103826–103826. 7 indexed citations
5.
Abdulreda, Midhat H., et al.. (2020). NOD Mice—Good Model for T1D but Not Without Limitations. Cell Transplantation. 29. 2790873560–2790873560. 14 indexed citations
6.
Abdulreda, Midhat H., R. Damaris Molano, Gaetano Faleo, et al.. (2019). In vivo imaging of type 1 diabetes immunopathology using eye-transplanted islets in NOD mice. Diabetologia. 62(7). 1237–1250. 20 indexed citations
7.
Abdulreda, Midhat H., Dora M. Berman, Christopher T. Martin, et al.. (2019). Operational immune tolerance towards transplanted allogeneic pancreatic islets in mice and a non-human primate. Diabetologia. 62(5). 811–821. 12 indexed citations
8.
Rodriguez‐Diaz, Rayner, R. Damaris Molano, Jonathan Weitz, et al.. (2018). Paracrine Interactions within the Pancreatic Islet Determine the Glycemic Set Point. Cell Metabolism. 27(3). 549–558.e4. 144 indexed citations
9.
Abdulreda, Midhat H., Rayner Rodriguez‐Diaz, Over Cabrera, Alejandro Caicedo, & Per‐Olof Berggren. (2016). The Different Faces of the Pancreatic Islet. Advances in experimental medicine and biology. 938. 11–24. 10 indexed citations
10.
Kistler, Andreas D., Alejandro Caicedo, Midhat H. Abdulreda, et al.. (2014). In vivo imaging of kidney glomeruli transplanted into the anterior chamber of the mouse eye. Scientific Reports. 4(1). 3872–3872. 18 indexed citations
11.
Miska, Jason, Midhat H. Abdulreda, Priyadharshini Devarajan, et al.. (2014). Real-time immune cell interactions in target tissue during autoimmune-induced damage and graft tolerance. The Journal of Experimental Medicine. 211(3). 441–456. 57 indexed citations
12.
Tan, Yu‐zhen, Midhat H. Abdulreda, Fernando Cruz‐Guilloty, et al.. (2013). Role of T Cell Recruitment and Chemokine-Regulated Intra-Graft T Cell Motility Patterns in Corneal Allograft Rejection. American Journal of Transplantation. 13(6). 1461–1473. 26 indexed citations
13.
Çelik, Emrah, Midhat H. Abdulreda, Dony Maiguel, Jie Li, & Vincent T. Moy. (2013). Rearrangement of microtubule network under biochemical and mechanical stimulations. Methods. 60(2). 195–201. 11 indexed citations
14.
Abdulreda, Midhat H., Alejandro Caicedo, & Per‐Olof Berggren. (2013). Transplantation into the Anterior Chamber of the Eye for Longitudinal, Non-invasive <em>In vivo</em> Imaging with Single-cell Resolution in Real-time. Journal of Visualized Experiments. e50466–e50466. 26 indexed citations
15.
Rodriguez‐Diaz, Rayner, Stephan Speier, R. Damaris Molano, et al.. (2012). Noninvasive in vivo model demonstrating the effects of autonomic innervation on pancreatic islet function. Proceedings of the National Academy of Sciences. 109(52). 21456–21461. 94 indexed citations
16.
Perez, Victor L., Alejandro Caicedo, Dora M. Berman, et al.. (2011). The anterior chamber of the eye as a clinical transplantation site for the treatment of diabetes: a study in a baboon model of diabetes. Diabetologia. 54(5). 1121–1126. 73 indexed citations
17.
Rodriguez‐Diaz, Rayner, Midhat H. Abdulreda, Itai Gans, et al.. (2011). Innervation Patterns of Autonomic Axons in the Human Endocrine Pancreas. Cell Metabolism. 14(1). 45–54. 261 indexed citations
18.
Rodriguez‐Diaz, Rayner, Robin Dando, Maria C. Jacques-Silva, et al.. (2011). Alpha cells secrete acetylcholine as a non-neuronal paracrine signal priming beta cell function in humans. Nature Medicine. 17(7). 888–892. 244 indexed citations
19.
Abdulreda, Midhat H., Akhil Bhalla, Félix Rico, et al.. (2009). Pulling force generated by interacting SNAREs facilitates membrane hemifusion. Integrative Biology. 1(4). 301–301. 15 indexed citations
20.
Abdulreda, Midhat H., Akhil Bhalla, Edwin R. Chapman, & Vincent T. Moy. (2007). Atomic Force Microscope Spectroscopy Reveals a Hemifusion Intermediate during Soluble N-Ethylmaleimide-Sensitive Factor-Attachment Protein Receptors-Mediated Membrane Fusion. Biophysical Journal. 94(2). 648–655. 21 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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