Ryan Ziffra

1.3k total citations
3 papers, 326 citations indexed

About

Ryan Ziffra is a scholar working on Molecular Biology, Developmental Neuroscience and Infectious Diseases. According to data from OpenAlex, Ryan Ziffra has authored 3 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Developmental Neuroscience and 0 papers in Infectious Diseases. Recurrent topics in Ryan Ziffra's work include Single-cell and spatial transcriptomics (2 papers), Genomics and Chromatin Dynamics (2 papers) and RNA and protein synthesis mechanisms (1 paper). Ryan Ziffra is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), Genomics and Chromatin Dynamics (2 papers) and RNA and protein synthesis mechanisms (1 paper). Ryan Ziffra collaborates with scholars based in United States and Germany. Ryan Ziffra's co-authors include Tomasz J. Nowakowski, Ryan N. Delgado, Walter Mancia, Anat Kreimer, Nadav Ahituv, Elizabeth E. Crouch, Denise E. Allen, Katherine S. Pollard, Arturo Álvarez-Buylla and Matthew G. Keefe and has published in prestigious journals such as Nature and Nature Protocols.

In The Last Decade

Ryan Ziffra

3 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan Ziffra United States	3	266	59	56	32	27	3	326
Jayden Ross United States	5	211 0.8×	43 0.7×	53 0.9×	27 0.8×	23 0.9×	6	282
Ugomma C. Eze United States	2	276 1.0×	45 0.8×	86 1.5×	45 1.4×	33 1.2×	3	344
Natalia Baumann Switzerland	6	177 0.7×	42 0.7×	89 1.6×	18 0.6×	17 0.6×	8	233
Alex M. Casella United States	5	340 1.3×	104 1.8×	20 0.4×	50 1.6×	32 1.2×	5	426
James H. Notwell United States	8	277 1.0×	76 1.3×	34 0.6×	70 2.2×	31 1.1×	8	372
Lisa M. Dratva United Kingdom	3	218 0.8×	19 0.3×	46 0.8×	20 0.6×	9 0.3×	4	285
Alejandro Mossi Albiach Sweden	3	278 1.0×	18 0.3×	59 1.1×	38 1.2×	10 0.4×	3	352
Alex R. Lederer Switzerland	4	245 0.9×	18 0.3×	46 0.8×	22 0.7×	9 0.3×	6	307
Linda Su-Feher United States	5	150 0.6×	47 0.8×	68 1.2×	17 0.5×	22 0.8×	9	214
Ana Uzquiano France	8	212 0.8×	65 1.1×	100 1.8×	17 0.5×	23 0.9×	11	307

Countries citing papers authored by Ryan Ziffra

Since Specialization

Citations

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

Fields of papers citing papers by Ryan Ziffra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Ziffra

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

All Works

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3 of 3 papers shown

1.

Ziffra, Ryan, Chang N. Kim, Jayden Ross, et al.. (2021). Single-cell epigenomics reveals mechanisms of human cortical development. Nature. 598(7879). 205–213. 153 indexed citations

2.

Delgado, Ryan N., Denise E. Allen, Matthew G. Keefe, et al.. (2021). Individual human cortical progenitors can produce excitatory and inhibitory neurons. Nature. 601(7893). 397–403. 103 indexed citations

3.

Gordon, M. Grace, Fumitaka Inoue, Beth Martin, et al.. (2020). lentiMPRA and MPRAflow for high-throughput functional characterization of gene regulatory elements. Nature Protocols. 15(8). 2387–2412. 70 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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