Ali Rezvan

772 total citations
9 papers, 157 citations indexed

About

Ali Rezvan is a scholar working on Infectious Diseases, Molecular Biology and Oncology. According to data from OpenAlex, Ali Rezvan has authored 9 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Ali Rezvan's work include SARS-CoV-2 and COVID-19 Research (3 papers), CAR-T cell therapy research (3 papers) and CRISPR and Genetic Engineering (2 papers). Ali Rezvan is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), CAR-T cell therapy research (3 papers) and CRISPR and Genetic Engineering (2 papers). Ali Rezvan collaborates with scholars based in United States, Switzerland and Denmark. Ali Rezvan's co-authors include Navin Varadarajan, Mohsen Fathi, Xingyue An, Melisa Martinez-Paniagua, Xinli Liu, Sujit Biswas, Shailbala Singh, Cassian Yee, Irfan Bandey and Harjeet Singh and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Cell Death and Disease.

In The Last Decade

Ali Rezvan

9 papers receiving 153 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ali Rezvan United States	7	52	49	46	44	27	9	157
Xingyue An United States	7	51 1.0×	58 1.2×	48 1.0×	59 1.3×	23 0.9×	11	169
Mohsen Fathi United States	6	51 1.0×	54 1.1×	51 1.1×	87 2.0×	28 1.0×	10	193
Raul Louzao United States	7	41 0.8×	128 2.6×	39 0.8×	89 2.0×	59 2.2×	10	273
Amor Khachemoune United States	11	39 0.8×	32 0.7×	140 3.0×	70 1.6×	146 5.4×	36	330
Savannah E. Butler United States	5	62 1.2×	42 0.9×	38 0.8×	53 1.2×	51 1.9×	10	171
Rhonda Henley‐Smith United Kingdom	7	95 1.8×	61 1.2×	116 2.5×	85 1.9×	71 2.6×	8	287
Altar M. Munis United Kingdom	8	101 1.9×	49 1.0×	32 0.7×	122 2.8×	52 1.9×	10	281
Xianglei Liu United States	5	92 1.8×	27 0.6×	30 0.7×	40 0.9×	11 0.4×	11	151
Jan Maschke Germany	8	19 0.4×	29 0.6×	54 1.2×	21 0.5×	120 4.4×	16	213
Christian Gervais Canada	11	91 1.8×	31 0.6×	22 0.5×	159 3.6×	30 1.1×	19	276

Countries citing papers authored by Ali Rezvan

Since Specialization

Citations

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

Fields of papers citing papers by Ali Rezvan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Rezvan

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

All Works

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9 of 9 papers shown

1.

Martinez-Paniagua, Melisa, Ali Rezvan, Xinli Liu, et al.. (2024). Multi-antigen intranasal vaccine protects against challenge with sarbecoviruses and prevents transmission in hamsters. Nature Communications. 15(1). 6193–6193. 7 indexed citations

2.

Bandey, Irfan, et al.. (2024). Decoding the mechanisms of chimeric antigen receptor (CAR) T cell-mediated killing of tumors: insights from granzyme and Fas inhibition. Cell Death and Disease. 15(2). 109–109. 16 indexed citations

3.

Fathi, Mohsen, Melisa Martinez-Paniagua, Ali Rezvan, et al.. (2023). Identifying signatures of EV secretion in metastatic breast cancer through functional single-cell profiling. iScience. 26(4). 106482–106482. 7 indexed citations

4.

Romain, Gabrielle, Paolo Strati, Ali Rezvan, et al.. (2022). Multidimensional single-cell analysis identifies a role for CD2-CD58 interactions in clinical antitumor T cell responses. Journal of Clinical Investigation. 132(17). 36 indexed citations

5.

Bandey, Irfan, et al.. (2022). 402 T cell killing is facilitated by multiple cytotoxic pathways. Regular and Young Investigator Award Abstracts. A424–A424. 2 indexed citations

6.

An, Xingyue, Melisa Martinez-Paniagua, Ali Rezvan, et al.. (2021). Single-dose intranasal vaccination elicits systemic and mucosal immunity against SARS-CoV-2. iScience. 24(9). 103037–103037. 66 indexed citations

7.

An, Xingyue, Melisa Martinez-Paniagua, Ali Rezvan, et al.. (2020). Single-Dose Intranasal Vaccination Elicits Systemic and Mucosal Immunity Against SARS-CoV-2. SSRN Electronic Journal. 2 indexed citations

8.

Rezvan, Ali, et al.. (2019). Phasetime: Deep Learning Approach to Detect Nuclei in Time Lapse Phase Images. Journal of Clinical Medicine. 8(8). 1159–1159. 12 indexed citations

9.

Jafarkhani, Mahboubeh, et al.. (2019). Graphene functionalized decellularized scaffold promotes skin cell proliferation. The Canadian Journal of Chemical Engineering. 98(1). 62–68. 9 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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