Evan Baum

734 total citations · 1 hit paper
8 papers, 455 citations indexed

About

Evan Baum is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Evan Baum has authored 8 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Evan Baum's work include Neuroscience and Neuropharmacology Research (3 papers), Pharmacological Receptor Mechanisms and Effects (2 papers) and Cellular transport and secretion (2 papers). Evan Baum is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Pharmacological Receptor Mechanisms and Effects (2 papers) and Cellular transport and secretion (2 papers). Evan Baum collaborates with scholars based in United States, China and Belgium. Evan Baum's co-authors include Yiyun Huang, Shu-fei Lin, Daniel Holden, Nabeel Nabulsi, Richard E. Carson, Sjoerd J. Finnema, Roni Dhaher, Dennis D. Spencer, Ming-Kai Chen and Kamil Detyniecki and has published in prestigious journals such as Science Translational Medicine, Journal of Nuclear Medicine and ACS Chemical Neuroscience.

In The Last Decade

Evan Baum

7 papers receiving 450 citations

Hit Papers

Imaging synaptic density in the living human brain 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evan Baum United States 6 204 118 117 112 104 8 455
Julia W. McDonald United States 5 179 0.9× 188 1.6× 77 0.7× 115 1.0× 55 0.5× 10 397
Hannah R. Michalak United States 6 179 0.9× 185 1.6× 75 0.6× 119 1.1× 54 0.5× 11 399
Roni Dhaher United States 11 320 1.6× 136 1.2× 178 1.5× 142 1.3× 101 1.0× 16 641
Cristian Constantinescu United States 15 261 1.3× 142 1.2× 219 1.9× 70 0.6× 69 0.7× 32 591
Victor V. Dyakin United States 12 139 0.7× 177 1.5× 149 1.3× 65 0.6× 180 1.7× 20 540
Ming‐Kai Chen United States 5 152 0.7× 197 1.7× 63 0.5× 99 0.9× 106 1.0× 11 404
Wenzhen Zhao United States 8 156 0.8× 253 2.1× 90 0.8× 113 1.0× 69 0.7× 18 475
Hugh H. Bartlett United States 7 154 0.8× 255 2.2× 76 0.6× 111 1.0× 72 0.7× 16 440
Tyler A. Godek United States 4 136 0.7× 192 1.6× 58 0.5× 98 0.9× 50 0.5× 14 325
Joanna E. Harris United States 4 138 0.7× 192 1.6× 57 0.5× 101 0.9× 50 0.5× 20 341

Countries citing papers authored by Evan Baum

Since Specialization
Citations

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

Fields of papers citing papers by Evan Baum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evan Baum

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

All Works

8 of 8 papers shown
1.
Kumar, Andre, et al.. (2025). Limited echocardiogram acquisition by novice clinicians aided with deep learning: A randomized controlled trial. Biology Methods and Protocols. 10(1). bpaf083–bpaf083.
2.
Baum, Evan, et al.. (2023). Acquisition of Cardiac Point-of-Care Ultrasound Images With Deep Learning. 1(3). 100023–100023. 12 indexed citations
3.
Jia, Hongmei, Zhengxin Cai, Daniel Holden, et al.. (2020). Positron Emission Tomography Imaging Evaluation of a Novel 18F-Labeled Sigma-1 Receptor Radioligand in Cynomolgus Monkeys. ACS Chemical Neuroscience. 11(11). 1673–1681. 14 indexed citations
4.
Cai, Zhengxin, Songye Li, Wenjie Zhang, et al.. (2020). Synthesis and Preclinical Evaluation of an 18F-Labeled Synaptic Vesicle Glycoprotein 2A PET Imaging Probe: [18F]SynVesT-2. ACS Chemical Neuroscience. 11(4). 592–603. 32 indexed citations
5.
Baum, Evan, Wenjie Zhang, Songye Li, et al.. (2019). A Novel 18F-Labeled Radioligand for Positron Emission Tomography Imaging of 11β-Hydroxysteroid Dehydrogenase (11β-HSD1): Synthesis and Preliminary Evaluation in Nonhuman Primates. ACS Chemical Neuroscience. 10(5). 2450–2458. 14 indexed citations
6.
Baum, Evan, Zhengxin Cai, Frédéric Y. Bois, et al.. (2017). PET Imaging Evaluation of Four σ1 Radiotracers in Nonhuman Primates. Journal of Nuclear Medicine. 58(6). 982–988. 21 indexed citations
7.
Finnema, Sjoerd J., Tore Eid, Mingkai Chen, et al.. (2016). 11C-UCB-J as a biomarker for synaptic density - an in vivo/in vitro validation study. 57. 1800–1800. 1 indexed citations
8.
Finnema, Sjoerd J., Nabeel Nabulsi, Tore Eid, et al.. (2016). Imaging synaptic density in the living human brain. Science Translational Medicine. 8(348). 348ra96–348ra96. 361 indexed citations breakdown →

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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