Kathryn Weinand

1.5k total citations
10 papers, 293 citations indexed

About

Kathryn Weinand is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Kathryn Weinand has authored 10 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Immunology and 1 paper in Oncology. Recurrent topics in Kathryn Weinand's work include Single-cell and spatial transcriptomics (6 papers), Genomics and Chromatin Dynamics (4 papers) and T-cell and B-cell Immunology (2 papers). Kathryn Weinand is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Genomics and Chromatin Dynamics (4 papers) and T-cell and B-cell Immunology (2 papers). Kathryn Weinand collaborates with scholars based in United States, United Kingdom and Switzerland. Kathryn Weinand's co-authors include Soumya Raychaudhuri, Aparna Nathan, Nghia Millard, Ilya Korsunsky, Laurie Rumker, D. Branch Moody, Fan Zhang, Martha L. Bulyk, Joyce B. Kang and Anastasia Vedenko and has published in prestigious journals such as Nature Communications, Nature Genetics and Nature Methods.

In The Last Decade

Kathryn Weinand

9 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kathryn Weinand United States	7	225	72	45	25	23	10	293
Ivar Noordstra Australia	10	259 1.2×	26 0.4×	34 0.8×	11 0.4×	13 0.6×	15	433
Jonathan E. Burnett United States	7	524 2.3×	51 0.7×	63 1.4×	105 4.2×	50 2.2×	7	610
Celeste Rosencrance United States	8	282 1.3×	191 2.7×	28 0.6×	63 2.5×	10 0.4×	10	490
Mehrnoosh Abshari United States	5	252 1.1×	114 1.6×	41 0.9×	14 0.6×	11 0.5×	6	418
Sander Tan Netherlands	7	283 1.3×	42 0.6×	68 1.5×	34 1.4×	4 0.2×	7	366
Mukund Kabbe Sweden	4	285 1.3×	50 0.7×	23 0.5×	79 3.2×	23 1.0×	5	371
Anoushka Joglekar United States	9	382 1.7×	35 0.5×	24 0.5×	118 4.7×	15 0.7×	10	438
Maxwell E. R. Shafer Canada	9	174 0.8×	25 0.3×	25 0.6×	18 0.7×	20 0.9×	11	229

Countries citing papers authored by Kathryn Weinand

Since Specialization

Citations

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

Fields of papers citing papers by Kathryn Weinand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn Weinand

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

All Works

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10 of 10 papers shown

Kotliar, Dylan, Michelle Curtis, Kathryn Weinand, et al.. (2025). Reproducible single-cell annotation of programs underlying T cell subsets, activation states and functions. Nature Methods. 22(9). 1964–1980.

Gupta, Anika, Kathryn Weinand, Aparna Nathan, et al.. (2023). Dynamic regulatory elements in single-cell multimodal data implicate key immune cell states enriched for autoimmune disease heritability. Nature Genetics. 55(12). 2200–2210. 10 indexed citations

Ibarra, Ignacio L., Vikram S. Ratnu, In‐Young Hwang, et al.. (2022). Comparative chromatin accessibility upon BDNF stimulation delineates neuronal regulatory elements. Molecular Systems Biology. 18(8). e10473–e10473. 19 indexed citations

Zhang, Martin Jinye, Kangcheng Hou, Kushal K. Dey, et al.. (2022). Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq data. Nature Genetics. 54(10). 1572–1580. 92 indexed citations

Millard, Nghia, Ilya Korsunsky, Kathryn Weinand, et al.. (2021). Maximizing Statistical Power to Detect Differentially Abundant Cell States With scPOST. SSRN Electronic Journal. 1 indexed citations

Millard, Nghia, Ilya Korsunsky, Kathryn Weinand, et al.. (2021). Maximizing statistical power to detect differentially abundant cell states with scPOST. Cell Reports Methods. 1(8). 100120–100120. 3 indexed citations

Kang, Joyce B., Aparna Nathan, Kathryn Weinand, et al.. (2021). Efficient and precise single-cell reference atlas mapping with Symphony. Nature Communications. 12(1). 5890–5890. 85 indexed citations

Mariani, Luca, Kathryn Weinand, Stephen S. Gisselbrecht, & Martha L. Bulyk. (2020). MEDEA: analysis of transcription factor binding motifs in accessible chromatin. Genome Research. 30(5). 736–748. 6 indexed citations

Shokri, Leila, Sachi Inukai, Antonina Hafner, et al.. (2019). A Comprehensive Drosophila melanogaster Transcription Factor Interactome. Cell Reports. 27(3). 955–970.e7. 52 indexed citations

10.

Mariani, Luca, Kathryn Weinand, Anastasia Vedenko, Luis Barrera, & Martha L. Bulyk. (2017). Identification of Human Lineage-Specific Transcriptional Coregulators Enabled by a Glossary of Binding Modules and Tunable Genomic Backgrounds. Cell Systems. 5(3). 187–201.e7. 25 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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