Neil Savage

2.9k total citations
146 papers, 1.6k citations indexed

About

Neil Savage is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Neil Savage has authored 146 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 14 papers in Artificial Intelligence and 14 papers in Biomedical Engineering. Recurrent topics in Neil Savage's work include Glioma Diagnosis and Treatment (6 papers), Semiconductor Lasers and Optical Devices (5 papers) and Machine Learning in Materials Science (4 papers). Neil Savage is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), Semiconductor Lasers and Optical Devices (5 papers) and Machine Learning in Materials Science (4 papers). Neil Savage collaborates with scholars based in United States, Canada and Australia. Neil Savage's co-authors include Sheila K. Singh, Chitra Venugopal, Chirayu Chokshi, William G. Young, Qiong Huang, Robert Brandt, Nazanin Tatari, Katherine Bourzac, Minomi Subapanditha and Jason Moffat and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Neil Savage

137 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neil Savage United States 20 357 291 279 270 242 146 1.6k
Hyun Joon Shin South Korea 30 314 0.9× 450 1.5× 489 1.8× 309 1.1× 294 1.2× 103 2.8k
Ying Chen China 28 500 1.4× 538 1.8× 321 1.2× 477 1.8× 562 2.3× 145 2.2k
Kun Chen China 28 503 1.4× 318 1.1× 310 1.1× 122 0.5× 217 0.9× 119 2.5k
Jeehong Kim South Korea 17 244 0.7× 192 0.7× 507 1.8× 242 0.9× 56 0.2× 72 1.5k
Chuanjun Liu Japan 32 917 2.6× 825 2.8× 280 1.0× 154 0.6× 343 1.4× 111 2.6k
Bing Huang China 23 335 0.9× 483 1.7× 989 3.5× 132 0.5× 167 0.7× 55 2.4k
Jae‐Kyung Kim South Korea 21 577 1.6× 546 1.9× 331 1.2× 854 3.2× 423 1.7× 110 2.1k
Christian Dietz Germany 26 599 1.7× 445 1.5× 781 2.8× 257 1.0× 716 3.0× 102 2.3k
Rui Zhang China 30 397 1.1× 1.2k 4.1× 1.2k 4.3× 245 0.9× 138 0.6× 180 2.7k
Qinglin Wang China 28 385 1.1× 1.1k 3.7× 1.4k 5.0× 416 1.5× 298 1.2× 237 3.1k

Countries citing papers authored by Neil Savage

Since Specialization
Citations

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

Fields of papers citing papers by Neil Savage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Savage

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Savage. A scholar is included among the top collaborators of Neil Savage 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 Neil Savage. Neil Savage 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.
Savage, Neil. (2024). How the latest materials are taking biosensors to the next level. Nature. 636(8042). S16–S17. 1 indexed citations
2.
Mikolajewicz, Nicholas, Nazanin Tatari, Jiarun Wei, et al.. (2024). Functional profiling of murine glioma models highlights targetable immune evasion phenotypes. Acta Neuropathologica. 148(1). 74–74.
3.
Adile, Ashley, David Bakhshinyan, Yujin Suk, et al.. (2023). An effective kinase inhibition strategy for metastatic recurrent childhood medulloblastoma. Journal of Neuro-Oncology. 163(3). 635–645. 2 indexed citations
4.
Chokshi, Chirayu, Agata Kieliszek, Nazanin Tatari, et al.. (2023). An HLA-G/SPAG9/STAT3 axis promotes brain metastases. Proceedings of the National Academy of Sciences. 120(8). e2205247120–e2205247120. 8 indexed citations
5.
Savage, Neil. (2023). The Rise of the Chatbots. Communications of the ACM. 66(7). 16–17. 1 indexed citations
6.
Savage, Neil. (2023). Could implantable artificial kidneys end the need for dialysis?. Nature. 615(7951). S12–S13.
7.
Savage, Neil. (2023). How to lower carbon levels using light. Nature. 1 indexed citations
8.
Savage, Neil. (2023). Revamping Python for an AI World. Communications of the ACM. 66(12). 13–14. 1 indexed citations
9.
Savage, Neil. (2023). How robots can learn to follow a moral code. Nature. 2 indexed citations
10.
Tatari, Nazanin, Neil Savage, Dillon McKenna, et al.. (2022). Real-time evaluation of a hydrogel delivery vehicle for cancer immunotherapeutics within embedded spheroid cultures. Journal of Controlled Release. 348. 386–396. 5 indexed citations
11.
Savage, Neil. (2021). Fact-finding mission. Communications of the ACM. 64(3). 18–19. 2 indexed citations
12.
Bakhshinyan, David, et al.. (2021). The Strange Case of Jekyll and Hyde: Parallels Between Neural Stem Cells and Glioblastoma-Initiating Cells. Frontiers in Oncology. 10. 603738–603738. 11 indexed citations
13.
Manoranjan, Branavan, Chirayu Chokshi, Chitra Venugopal, et al.. (2019). A CD133-AKT-Wnt signaling axis drives glioblastoma brain tumor-initiating cells. Oncogene. 39(7). 1590–1599. 31 indexed citations
14.
Singh, Mohini, Neil Savage, & Sheila K. Singh. (2018). In Vivo Murine Models of Brain Metastasis. Methods in molecular biology. 1869. 231–238. 1 indexed citations
15.
Savage, Neil. (2017). The Measure of a Man. Cell. 169(7). 1159–1161. 2 indexed citations
16.
Savage, Neil. (2017). Getting Data Sharing Right to Help Fulfill the Promise of Cancer Genomics. Cell. 168(4). 551–554. 5 indexed citations
17.
Savage, Neil. (2016). Spreading Knowledge and Wonder. Cell. 164(6). 1085–1088. 2 indexed citations
18.
Savage, Neil. (2014). Epidemiology: The complexities of epilepsy. Nature. 511(7508). S2–S3. 29 indexed citations
19.
Savage, Neil. (2014). Bioinformatics: Big Data Versus the Big C. Scientific American. 311(1). 120–121. 5 indexed citations
20.
Savage, Neil. (2003). News analysis: lucent hatches faster polymer modulator for fiber optics. IEEE Spectrum. 40(2). 20–21. 1 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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