Jeremy Leitz

1.9k total citations · 1 hit paper
24 papers, 1.2k citations indexed

About

Jeremy Leitz is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jeremy Leitz has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cell Biology, 17 papers in Molecular Biology and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jeremy Leitz's work include Cellular transport and secretion (19 papers), Lipid Membrane Structure and Behavior (16 papers) and Neuroscience and Neuropharmacology Research (13 papers). Jeremy Leitz is often cited by papers focused on Cellular transport and secretion (19 papers), Lipid Membrane Structure and Behavior (16 papers) and Neuroscience and Neuropharmacology Research (13 papers). Jeremy Leitz collaborates with scholars based in United States, China and Germany. Jeremy Leitz's co-authors include Ege T. Kavalali, Axel T. Brünger, Ying Lai, Ucheor B. Choi, Qiangjun Zhou, ChiHye Chung, Richard A. Pfuetzner, Denise M. O. Ramirez, Barbara Baryłko and Xinran Liu and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jeremy Leitz

24 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical libraries

2024 88 citations Kyle Swanson, Jeremy Leitz et al. Bioinformatics profile →

Peers

Jeremy Leitz

MB

CB

CMN

PHYSI

Mirko Messa United States

Elise F. Stanley Canada

Burkhard Rammner Germany

Tomáš Mazel Czechia

Jorge Santos Da Silva Italy

Seong Joo Koo Germany

Dragomir Milovanović Germany

Pascal Kessler France

Thierry Galvez France

Karen Litwa United States

Mirko Messa United States

Jeremy Leitz

958 ×1.1

MB

696 ×1.0

CB

543 ×1.0

CMN

160 ×1.3

PHYSI

83 ×1.3

PHYSI

Citations per year, relative to Jeremy Leitz Jeremy Leitz (= 1×) peers Mirko Messa

Countries citing papers authored by Jeremy Leitz

Since Specialization

Citations

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

Fields of papers citing papers by Jeremy Leitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy Leitz

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

All Works

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20 of 20 papers shown

1.

Swanson, Kyle, Jeremy Leitz, Souhrid Mukherjee, et al.. (2024). ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical libraries. Bioinformatics. 40(7). 88 indexed citations breakdown →

2.

Leitz, Jeremy, Chuchu Wang, Luis Esquivies, et al.. (2024). Beyond the MUN domain, Munc13 controls priming and depriming of synaptic vesicles. Cell Reports. 43(5). 114026–114026. 9 indexed citations

3.

Leitz, Jeremy, Chuchu Wang, Luis Esquivies, et al.. (2024). Observing isolated synaptic vesicle association and fusion ex vivo. Nature Protocols. 19(11). 3139–3161. 5 indexed citations

4.

Wang, Chuchu, Wenhong Jiang, Jeremy Leitz, et al.. (2024). Structure and topography of the synaptic V-ATPase–synaptophysin complex. Nature. 631(8022). 899–904. 23 indexed citations

5.

Zhang, Hao, Phung N. Thai, Rabindra V. Shivnaraine, et al.. (2024). Multiscale drug screening for cardiac fibrosis identifies MD2 as a therapeutic target. Cell. 187(25). 7143–7163.e22. 25 indexed citations

6.

Leitz, Jeremy, et al.. (2024). A new method for isolation and purification of fusion-competent inhibitory synaptic vesicles. SHILAP Revista de lepidopterología. 7. 100121–100121. 2 indexed citations

7.

Lai, Ying, Chunyu Zhao, Chuchu Wang, et al.. (2023). Neutral lysophosphatidylcholine mediates α-synuclein-induced synaptic vesicle clustering. Proceedings of the National Academy of Sciences. 120(44). e2310174120–e2310174120. 14 indexed citations

8.

Lai, Ying, Michael J. Tuvim, Jeremy Leitz, et al.. (2022). Screening of Hydrocarbon-Stapled Peptides for Inhibition of Calcium-Triggered Exocytosis. Frontiers in Pharmacology. 13. 891041–891041. 7 indexed citations

9.

Lai, Ying, Giorgio Fois, José R. Flores, et al.. (2022). Inhibition of calcium-triggered secretion by hydrocarbon-stapled peptides. Nature. 603(7903). 949–956. 50 indexed citations

10.

Brünger, Axel T. & Jeremy Leitz. (2022). The Core Complex of the Ca2+-Triggered Presynaptic Fusion Machinery. Journal of Molecular Biology. 435(1). 167853–167853. 22 indexed citations

11.

Leitz, Jeremy, et al.. (2022). A feature-guided, focused 3D signal permutation method for subtomogram averaging. Journal of Structural Biology. 214(2). 107851–107851. 5 indexed citations

12.

Leitz, Jeremy, et al.. (2021). Molecular Characterization of AMPA-Receptor-Containing Vesicles. Frontiers in Molecular Neuroscience. 14. 754631–754631. 11 indexed citations

13.

Brünger, Axel T., Ucheor B. Choi, Ying Lai, et al.. (2019). The pre-synaptic fusion machinery. Current Opinion in Structural Biology. 54. 179–188. 64 indexed citations

14.

Brünger, Axel T., Jeremy Leitz, Qiangjun Zhou, Ucheor B. Choi, & Ying Lai. (2018). Ca2+-Triggered Synaptic Vesicle Fusion Initiated by Release of Inhibition. Trends in Cell Biology. 28(8). 631–645. 39 indexed citations

15.

Lai, Ying, Ucheor B. Choi, Jeremy Leitz, et al.. (2017). Molecular Mechanisms of Synaptic Vesicle Priming by Munc13 and Munc18. Neuron. 95(3). 591–607.e10. 177 indexed citations

16.

Hu, Rui, Jiajie Diao, Zhipeng Tang, et al.. (2016). Intrinsic and membrane-facilitated α-synuclein oligomerization revealed by label-free detection through solid-state nanopores. Scientific Reports. 6(1). 20776–20776. 68 indexed citations

17.

Gong, Jihong, Ying Lai, Xiaohong Li, et al.. (2016). C-terminal domain of mammalian complexin-1 localizes to highly curved membranes. Proceedings of the National Academy of Sciences. 113(47). E7590–E7599. 55 indexed citations

18.

Bal, Manjot, Jeremy Leitz, Austin L. Reese, et al.. (2013). Reelin Mobilizes a VAMP7-Dependent Synaptic Vesicle Pool and Selectively Augments Spontaneous Neurotransmission. Neuron. 80(4). 934–946. 100 indexed citations

19.

Leitz, Jeremy & Ege T. Kavalali. (2011). Ca²⁺Influx Slows Single Synaptic Vesicle Endocytosis. Journal of Neuroscience. 31(45). 16318–16326. 77 indexed citations

20.

Chung, ChiHye, Barbara Baryłko, Jeremy Leitz, Xinran Liu, & Ege T. Kavalali. (2010). Acute Dynamin Inhibition Dissects Synaptic Vesicle Recycling Pathways That Drive Spontaneous and Evoked Neurotransmission. Journal of Neuroscience. 30(4). 1363–1376. 115 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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