Alex Renn

409 total citations
8 papers, 183 citations indexed

About

Alex Renn is a scholar working on Immunology, Molecular Biology and Neurology. According to data from OpenAlex, Alex Renn has authored 8 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Neurology. Recurrent topics in Alex Renn's work include Pituitary Gland Disorders and Treatments (2 papers), Meningioma and schwannoma management (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). Alex Renn is often cited by papers focused on Pituitary Gland Disorders and Treatments (2 papers), Meningioma and schwannoma management (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). Alex Renn collaborates with scholars based in United States, China and Taiwan. Alex Renn's co-authors include Matthew D. Hall, Ying Fu, Anton Simeonov, Xin Hu, Gabriel Zada, Pavlos Texakalidis, William J. Mack, Benjamin S. Hopkins, Vincent Nguyen and John D. Campbell and has published in prestigious journals such as Journal of neurosurgery, Trends in Pharmacological Sciences and Molecular Cancer Therapeutics.

In The Last Decade

Alex Renn

8 papers receiving 180 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alex Renn United States	6	65	59	50	33	33	8	183
Shuqin Gu China	6	19 0.3×	32 0.5×	17 0.3×	20 0.6×	67 2.0×	15	172
Abdulmonem A. Alsaleh Saudi Arabia	10	45 0.7×	8 0.1×	20 0.4×	75 2.3×	13 0.4×	24	192
Kevin Wu United States	6	26 0.4×	26 0.4×	20 0.4×	33 1.0×	4 0.1×	8	124
Haiwen Gui United States	6	7 0.1×	82 1.4×	43 0.9×	31 0.9×	3 0.1×	13	211
Jinxiu Yao China	7	76 1.2×	3 0.1×	22 0.4×	30 0.9×	10 0.3×	13	160
Alexandra Walter Germany	5	16 0.2×	4 0.1×	27 0.5×	81 2.5×	34 1.0×	12	312
Salahudeen Mohamed Haja Mohideen Singapore	4	187 2.9×	3 0.1×	34 0.7×	41 1.2×	47 1.4×	7	251
Ayaka Sakamoto Japan	10	69 1.1×	3 0.1×	8 0.2×	73 2.2×	13 0.4×	22	229
Zari Naderi Ghale-Noie Iran	6	86 1.3×	3 0.1×	26 0.5×	140 4.2×	6 0.2×	11	266
Tolani F. Olonisakin United States	7	16 0.2×	3 0.1×	5 0.1×	76 2.3×	49 1.5×	13	249

Countries citing papers authored by Alex Renn

Since Specialization

Citations

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

Fields of papers citing papers by Alex Renn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Renn

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Coté, David J., Robert G. Briggs, David Gómez, et al.. (2025). Association between meningioma consistency and surgical outcomes. Journal of neurosurgery. 142(5). 1331–1337. 1 indexed citations

2.

Coté, David J., et al.. (2025). Association between pituitary adenoma consistency, resection techniques, and patient outcomes: a single-institution experience. Journal of neurosurgery. 142(6). 1674–1681. 4 indexed citations

3.

Hopkins, Benjamin S., Vincent Nguyen, Pavlos Texakalidis, et al.. (2023). ChatGPT versus the neurosurgical written boards: a comparative analysis of artificial intelligence/machine learning performance on neurosurgical board–style questions. Journal of neurosurgery. 139(3). 904–911. 60 indexed citations

4.

Pan, Jiajia, Nan Li, Alex Renn, et al.. (2022). GPC1-Targeted Immunotoxins Inhibit Pancreatic Tumor Growth in Mice via Depletion of Short-lived GPC1 and Downregulation of Wnt Signaling. Molecular Cancer Therapeutics. 21(6). 960–973. 8 indexed citations

5.

Li, Nan, Alex Renn, Honglu Zhu, et al.. (2022). GPC1-Targeted Immunotoxins Inhibit Pancreatic Tumor Growth in Mice via Depletion of Short-lived GPC1 and Downregulation of Wnt Signaling.. PubMed. 21(6). 960–973. 6 indexed citations

6.

Renn, Alex, Ying Fu, Xin Hu, Matthew D. Hall, & Anton Simeonov. (2020). Fruitful Neutralizing Antibody Pipeline Brings Hope To Defeat SARS-Cov-2. Trends in Pharmacological Sciences. 41(11). 815–829. 79 indexed citations

7.

Renn, Alex, et al.. (2020). Advances in the prediction of mouse liver microsomal studies: From machine learning to deep learning. Wiley Interdisciplinary Reviews Computational Molecular Science. 11(1). 7 indexed citations

8.

Renn, Alex, et al.. (2018). Preclinical development of the TLR9 agonist DV281 as an inhaled aerosolized immunotherapeutic for lung cancer: Pharmacological profile in mice, non-human primates, and human primary cells. International Immunopharmacology. 66. 296–308. 18 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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