Michael Vinyard

773 total citations
9 papers, 350 citations indexed

About

Michael Vinyard is a scholar working on Molecular Biology, Biophysics and Hematology. According to data from OpenAlex, Michael Vinyard has authored 9 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Biophysics and 1 paper in Hematology. Recurrent topics in Michael Vinyard's work include Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (3 papers) and Epigenetics and DNA Methylation (3 papers). Michael Vinyard is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (3 papers) and Epigenetics and DNA Methylation (3 papers). Michael Vinyard collaborates with scholars based in United States, Germany and Israel. Michael Vinyard's co-authors include Luca Pinello, Huidong Chen, Jason D. Buenrostro, Kendell Clement, Caleb A. Lareau, Tommaso Andreani, Miguel A. Andrade‐Navarro, Sara P. Garcia, Brian B. Liau and Amanda L. Waterbury and has published in prestigious journals such as Journal of the American Chemical Society, Molecular Cell and Nature Methods.

In The Last Decade

Michael Vinyard

9 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Vinyard United States	7	316	58	47	28	23	9	350
Alex Khodaverdian United States	4	303 1.0×	71 1.2×	42 0.9×	17 0.6×	41 1.8×	6	336
Kunal Jindal United States	3	244 0.8×	33 0.6×	32 0.7×	28 1.0×	15 0.7×	4	283
Chantriolnt-Andreas Kapourani United Kingdom	5	500 1.6×	109 1.9×	57 1.2×	55 2.0×	53 2.3×	5	529
Hussein Mohsen United States	6	240 0.8×	85 1.5×	57 1.2×	20 0.7×	40 1.7×	16	325
Angelo Nuzzo Italy	8	351 1.1×	98 1.7×	23 0.5×	35 1.3×	73 3.2×	15	405
Roberta Alfieri Italy	11	268 0.8×	59 1.0×	34 0.7×	18 0.6×	35 1.5×	21	375
Chengzhong Ye United States	6	212 0.7×	55 0.9×	43 0.9×	24 0.9×	34 1.5×	7	263
Anissa Guillemin France	7	213 0.7×	15 0.3×	36 0.8×	20 0.7×	12 0.5×	9	268
Nan Papili Gao Switzerland	8	322 1.0×	14 0.2×	38 0.8×	16 0.6×	14 0.6×	10	355
Christopher Coté United States	5	206 0.7×	55 0.9×	38 0.8×	20 0.7×	23 1.0×	5	257

Countries citing papers authored by Michael Vinyard

Since Specialization

Citations

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

Fields of papers citing papers by Michael Vinyard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Vinyard

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Vinyard. A scholar is included among the top collaborators of Michael Vinyard 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 Michael Vinyard. Michael Vinyard 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:

9 of 9 papers shown

1.

Sreekanth, Vedagopuram, Max Jan, Kevin T. Zhao, et al.. (2025). A Molecular Glue Approach to Control the Half-Life of CRISPR-Based Technologies. Journal of the American Chemical Society. 147(27). 23844–23856. 3 indexed citations

2.

Vinyard, Michael, et al.. (2025). Learning cell dynamics with neural differential equations. Nature Machine Intelligence. 7(12). 1969–1984. 1 indexed citations

3.

Waterbury, Amanda L., Hui Si Kwok, Allyson M. Freedy, et al.. (2024). An autoinhibitory switch of the LSD1 disordered region controls enhancer silencing. Molecular Cell. 84(12). 2238–2254.e11. 13 indexed citations

4.

Chen, Zeyu, Nauman Javed, Jingyi Wu, et al.. (2023). Integrative dissection of gene regulatory elements at base resolution. Cell Genomics. 3(6). 100318–100318. 8 indexed citations

5.

Chen, Huidong, Jayoung Ryu, Michael Vinyard, Adam Lerer, & Luca Pinello. (2023). SIMBA: single-cell embedding along with features. Nature Methods. 21(6). 1003–1013. 26 indexed citations

6.

Stein, David, Huidong Chen, Michael Vinyard, et al.. (2021). singlecellVR: Interactive Visualization of Single-Cell Data in Virtual Reality. Frontiers in Genetics. 12. 764170–764170. 16 indexed citations

7.

Wang, Lingfei, Qian Zhang, Qian Qin, et al.. (2021). Current progress and potential opportunities to infer single-cell developmental trajectory and cell fate. Current Opinion in Systems Biology. 26. 1–11. 10 indexed citations

8.

Vinyard, Michael, Amanda L. Waterbury, Allyson M. Freedy, et al.. (2019). CRISPR-suppressor scanning reveals a nonenzymatic role of LSD1 in AML. Nature Chemical Biology. 15(5). 529–539. 70 indexed citations

9.

Chen, Huidong, Caleb A. Lareau, Tommaso Andreani, et al.. (2019). Assessment of computational methods for the analysis of single-cell ATAC-seq data. Genome biology. 20(1). 241–241. 203 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.

Explore authors with similar magnitude of impact