Eric Kernfeld

914 total citations
11 papers, 530 citations indexed

About

Eric Kernfeld is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Eric Kernfeld has authored 11 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Surgery. Recurrent topics in Eric Kernfeld's work include Single-cell and spatial transcriptomics (4 papers), Pluripotent Stem Cells Research (2 papers) and Energy Harvesting in Wireless Networks (1 paper). Eric Kernfeld is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Pluripotent Stem Cells Research (2 papers) and Energy Harvesting in Wireless Networks (1 paper). Eric Kernfeld collaborates with scholars based in United States and Germany. Eric Kernfeld's co-authors include Shuchin Aeron, Misha E. Kilmer, René Maehr, Ryan M. Genga, Ping Xu, Krishna Mohan Parsi, Fabian J. Theis, Michael J. Ziller, Jan Hasenauer and David S. Fischer and has published in prestigious journals such as Nature Communications, Immunity and Nature Biotechnology.

In The Last Decade

Eric Kernfeld

11 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric Kernfeld United States	7	220	136	112	84	84	11	530
Weining Shen United States	12	307 1.4×	15 0.1×	21 0.2×	15 0.2×	33 0.4×	60	627
Jeremy G. Hoskins United States	6	161 0.7×	10 0.1×	9 0.1×	42 0.5×	50 0.6×	13	408
Xijing Guo China	11	131 0.6×	29 0.2×	31 0.3×	15 0.2×	23 0.3×	23	452
Jiazhou Chen China	14	156 0.7×	28 0.2×	26 0.2×	142 1.7×	4 0.0×	46	610
Rong Ma United States	12	180 0.8×	4 0.0×	27 0.2×	66 0.8×	39 0.5×	34	499
T.S. Huang Taiwan	10	195 0.9×	20 0.1×	32 0.3×	636 7.6×	22 0.3×	23	1.0k
Xiaodong Cai United States	17	273 1.2×	5 0.0×	19 0.2×	18 0.2×	25 0.3×	44	950
Dániel András Drexler Hungary	16	323 1.5×	10 0.1×	7 0.1×	32 0.4×	10 0.1×	116	951
Weichen Wang United States	9	153 0.7×	6 0.0×	51 0.5×	15 0.2×	20 0.2×	22	466

Countries citing papers authored by Eric Kernfeld

Since Specialization

Citations

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

Fields of papers citing papers by Eric Kernfeld

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Kernfeld

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

All Works

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11 of 11 papers shown

Kernfeld, Eric, et al.. (2025). A comparison of computational methods for expression forecasting. Genome biology. 26(1). 388–388. 3 indexed citations

Kernfeld, Eric, et al.. (2024). Transcriptome data are insufficient to control false discoveries in regulatory network inference. Cell Systems. 15(8). 709–724.e13. 6 indexed citations

Kernfeld, Eric, et al.. (2024). Organogenetic transcriptomes of the Drosophila embryo at single cell resolution. Development. 151(2). 5 indexed citations

Kearns, Nicola A., Ryan M. Genga, Krishna Mohan Parsi, et al.. (2023). Generation and molecular characterization of human pluripotent stem cell-derived pharyngeal foregut endoderm. Developmental Cell. 58(18). 1801–1818.e15. 3 indexed citations

Kernfeld, Eric, et al.. (2022). Integration of single-cell transcriptomes and chromatin landscapes reveals regulatory programs driving pharyngeal organ development. Nature Communications. 13(1). 457–457. 26 indexed citations

Fischer, David S., Eric Kernfeld, Ryan M. Genga, et al.. (2019). Inferring population dynamics from single-cell RNA-sequencing time series data. Nature Biotechnology. 37(4). 461–468. 77 indexed citations

Genga, Ryan M., et al.. (2019). Single-Cell RNA-Sequencing-Based CRISPRi Screening Resolves Molecular Drivers of Early Human Endoderm Development. Cell Reports. 27(3). 708–718.e10. 63 indexed citations

Kernfeld, Eric, et al.. (2018). A Single-Cell Transcriptomic Atlas of Thymus Organogenesis Resolves Cell Types and Developmental Maturation. Immunity. 48(6). 1258–1270.e6. 128 indexed citations

Blue, Elizabeth, Chang‐En Yu, Timothy A. Thornton, et al.. (2017). Variants regulating ZBTB4 are associated with age‐at‐onset of Alzheimer's disease. Genes Brain & Behavior. 17(6). e12429–e12429. 8 indexed citations

10.

Kernfeld, Eric, et al.. (2016). Situated Language Understanding with Human-like and Visualization-Based Transparency. 20 indexed citations

11.

Kernfeld, Eric, Misha E. Kilmer, & Shuchin Aeron. (2015). Tensor–tensor products with invertible linear transforms. Linear Algebra and its Applications. 485. 545–570. 191 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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