Asma Rizvi

565 total citations
18 papers, 438 citations indexed

About

Asma Rizvi is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Asma Rizvi has authored 18 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 9 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Physiology. Recurrent topics in Asma Rizvi's work include Spaceflight effects on biology (9 papers), Effects of Radiation Exposure (9 papers) and Radiation Therapy and Dosimetry (7 papers). Asma Rizvi is often cited by papers focused on Spaceflight effects on biology (9 papers), Effects of Radiation Exposure (9 papers) and Radiation Therapy and Dosimetry (7 papers). Asma Rizvi collaborates with scholars based in United States, Canada and Japan. Asma Rizvi's co-authors include Daila S. Gridley, Michael J. Pecaut, Xian Luo‐Owen, James M. Slater, Adeola Y. Makinde, Stephen K. Chapes, Louis Stodieck, Virginia L. Ferguson, G. Coutrakon and James D. Crapo and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Applied Physiology and Radiation Research.

In The Last Decade

Asma Rizvi

17 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Asma Rizvi United States	13	220	178	141	98	59	18	438
Geoffrey C. Mitchell United States	6	142 0.6×	79 0.4×	76 0.5×	120 1.2×	21 0.4×	7	385
K Okada Japan	13	87 0.4×	145 0.8×	194 1.4×	131 1.3×	27 0.5×	31	551
Anthony M. Fletcher United States	10	105 0.5×	43 0.2×	82 0.6×	198 2.0×	22 0.4×	13	498
Koshi Kinoshita Japan	14	45 0.2×	108 0.6×	49 0.3×	296 3.0×	31 0.5×	28	660
Ozgur Ogut United States	21	179 0.8×	43 0.2×	61 0.4×	704 7.2×	37 0.6×	34	1.2k
C Helţianu Czechia	13	177 0.8×	22 0.1×	51 0.4×	219 2.2×	18 0.3×	29	507
Nancy R. Clendenon United States	12	73 0.3×	161 0.9×	38 0.3×	175 1.8×	30 0.5×	24	611
Chee Kin Then United Kingdom	10	40 0.2×	75 0.4×	114 0.8×	141 1.4×	10 0.2×	16	389
Anandalakshmi Venkatraman Singapore	12	78 0.4×	393 2.2×	21 0.1×	285 2.9×	89 1.5×	21	743
Jennifer Fazzari Switzerland	15	46 0.2×	207 1.2×	215 1.5×	95 1.0×	6 0.1×	27	451

Countries citing papers authored by Asma Rizvi

Since Specialization

Citations

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

Fields of papers citing papers by Asma Rizvi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asma Rizvi

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

All Works

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18 of 18 papers shown

Singh, Vishal, et al.. (2026). Aquaporin‐4 and caveolin‐1 as mediators of fibrinogen‐driven cerebrovascular pathology in cerebral amyloid angiopathy. Alzheimer s & Dementia. 22(1). e71030–e71030.

Rizvi, Asma, et al.. (2021). AI BASED FACIAL RECOGNITION TECHNOLOGY AND CRIMINAL JUSTICE: ISSUES AND CHALLENGES. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12(14). 3384–3392. 6 indexed citations

Pan, Ping‐Yue, et al.. (2021). Synaptojanin1 deficiency upregulates basal autophagosome formation in astrocytes. Journal of Biological Chemistry. 297(1). 100873–100873. 15 indexed citations

Gridley, Daila S., Asma Rizvi, Adeola Y. Makinde, et al.. (2012). Space-relevant radiation modifies cytokine profiles, signaling proteins and Foxp3⁺T cells. International Journal of Radiation Biology. 89(1). 26–35. 10 indexed citations

Luo‐Owen, Xian, Michael J. Pecaut, Asma Rizvi, & Daila S. Gridley. (2012). Low-Dose Total-Body γ Irradiation Modulates Immune Response to Acute Proton Radiation. Radiation Research. 177(3). 251–264. 18 indexed citations

Pecaut, Michael J., James D. Crapo, Asma Rizvi, et al.. (2012). Analysis of a Metalloporphyrin Antioxidant Mimetic (MnTE-2-PyP) as a Radiomitigator: Prostate Tumor and Immune Status. Technology in Cancer Research & Treatment. 11(5). 447–457. 11 indexed citations

Rizvi, Asma, Michael J. Pecaut, & Daila S. Gridley. (2011). Low-dose Gamma-rays and Simulated Solar Particle Event Protons Modify Splenocyte Gene and Cytokine Expression Patterns. Journal of Radiation Research. 52(6). 701–711. 17 indexed citations

Makinde, Adeola Y., Asma Rizvi, James D. Crapo, et al.. (2010). A Metalloporphyrin Antioxidant Alters Cytokine Responses after Irradiation in a Prostate Tumor Model. Radiation Research. 173(4). 441–452. 13 indexed citations

Rizvi, Asma, Michael J. Pecaut, James M. Slater, Shruti Subramaniam, & Daila S. Gridley. (2010). Low-dose γ-rays modify CD4⁺T cell signalling response to simulated solar particle event protons in a mouse model. International Journal of Radiation Biology. 87(1). 24–35. 23 indexed citations

10.

Gridley, Daila S., Xian Luo‐Owen, Asma Rizvi, et al.. (2010). Low-dose Photon and Simulated Solar Particle Event Proton Effects on Foxp3⁺ T Regulatory Cells and other Leukocytes. Technology in Cancer Research & Treatment. 9(6). 637–649. 18 indexed citations

11.

Gridley, Daila S., Michael J. Pecaut, Asma Rizvi, et al.. (2009). Low-dose, low-dose-rate proton radiation modulates CD4⁺T cell gene expression. International Journal of Radiation Biology. 85(3). 250–261. 27 indexed citations

12.

Gridley, Daila S., Asma Rizvi, Xian Luo‐Owen, Adeola Y. Makinde, & Michael J. Pecaut. (2009). Low Dose, Low Dose Rate Photon Radiation Modifies Leukocyte Distribution and Gene Expression in CD4+ T Cells. Journal of Radiation Research. 50(2). 139–150. 29 indexed citations

13.

Makinde, Adeola Y., Xian Luo‐Owen, Asma Rizvi, et al.. (2009). Effect of a metalloporphyrin antioxidant (MnTE-2-PyP) on the response of a mouse prostate cancer model to radiation.. PubMed. 29(1). 107–18. 26 indexed citations

14.

Gridley, Daila S., James M. Slater, Xian Luo‐Owen, et al.. (2008). Spaceflight effects on T lymphocyte distribution, function and gene expression. Journal of Applied Physiology. 106(1). 194–202. 111 indexed citations

15.

Gridley, Daila S., G. Coutrakon, Asma Rizvi, et al.. (2008). Low-Dose Photons Modify Liver Response to Simulated Solar Particle Event Protons. Radiation Research. 169(3). 280–287. 30 indexed citations

16.

Gridley, Daila S., Asma Rizvi, Xian Luo‐Owen, et al.. (2008). Variable hematopoietic responses to acute photons, protons and simulated solar particle event protons.. PubMed. 22(2). 159–69. 43 indexed citations

17.

Gridley, Daila S., Adeola Y. Makinde, Xian Luo, et al.. (2007). Radiation and a metalloporphyrin radioprotectant in a mouse prostate tumor model.. PubMed. 27(5A). 3101–9. 35 indexed citations

18.

Wasserman, A. J., Charles J. Doillon, Alvin I. Glasgold, et al.. (1988). Clinical applications of electron microscopy in the analysis of collagenous biomaterials.. PubMed. 2(3). 1635–46. 6 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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