Kyle Ferchen

6.1k total citations
9 papers, 237 citations indexed

About

Kyle Ferchen is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Kyle Ferchen has authored 9 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Hematology and 3 papers in Immunology. Recurrent topics in Kyle Ferchen's work include Single-cell and spatial transcriptomics (5 papers), Acute Myeloid Leukemia Research (3 papers) and Cancer Genomics and Diagnostics (2 papers). Kyle Ferchen is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Acute Myeloid Leukemia Research (3 papers) and Cancer Genomics and Diagnostics (2 papers). Kyle Ferchen collaborates with scholars based in United States and China. Kyle Ferchen's co-authors include H. Leighton Grimes, Nathan Salomonis, Kashish Chetal, Stuart Hay, Erica A. K. DePasquale, Phillip J. Dexheimer, Íñigo Valiente-Alandí, Burns C. Blaxall, Daniel Schnell and Jianjun Chen and has published in prestigious journals such as Nucleic Acids Research, Blood and Nature Immunology.

In The Last Decade

Kyle Ferchen

8 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyle Ferchen United States	5	148	103	79	38	30	9	237
Stuart Hay United States	3	174 1.2×	84 0.8×	56 0.7×	35 0.9×	22 0.7×	3	238
Deena Iskander United Kingdom	7	177 1.2×	72 0.7×	91 1.2×	25 0.7×	19 0.6×	17	275
Antonella Santoro United Kingdom	6	195 1.3×	71 0.7×	116 1.5×	38 1.0×	26 0.9×	10	290
Tina Wiesner Germany	4	117 0.8×	125 1.2×	77 1.0×	25 0.7×	88 2.9×	8	274
Sandra Duquesne Germany	5	109 0.7×	108 1.0×	56 0.7×	51 1.3×	88 2.9×	5	256
Nicola Long United States	7	85 0.6×	54 0.5×	119 1.5×	24 0.6×	32 1.1×	17	203
Ruzhica Bogeska Germany	6	108 0.7×	58 0.6×	139 1.8×	17 0.4×	25 0.8×	8	235
Andy G.X. Zeng Canada	6	132 0.9×	58 0.6×	140 1.8×	47 1.2×	35 1.2×	16	230
Kathrin Hanke Germany	3	85 0.6×	110 1.1×	73 0.9×	56 1.5×	53 1.8×	4	209
Katharine Hodby United Kingdom	5	100 0.7×	59 0.6×	115 1.5×	69 1.8×	50 1.7×	6	246

Countries citing papers authored by Kyle Ferchen

Since Specialization

Citations

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

Fields of papers citing papers by Kyle Ferchen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Ferchen

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Ferchen. A scholar is included among the top collaborators of Kyle Ferchen 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 Kyle Ferchen. Kyle Ferchen 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.

Ferchen, Kyle, Xuan Zhang, Guangyuan Li, et al.. (2025). A unified multimodal single-cell framework reveals a discrete state model of hematopoiesis in mice. Nature Immunology. 26(11). 2086–2099.

2.

Ferchen, Kyle, Nathan Salomonis, & H. Leighton Grimes. (2023). pyInfinityFlow: optimized imputation and analysis of high-dimensional flow cytometry data for millions of cells. Bioinformatics. 39(5). 1 indexed citations

3.

Basu, Jayati, André Olsson, Kyle Ferchen, et al.. (2023). ThPOK is a critical multifaceted regulator of myeloid lineage development. Nature Immunology. 24(8). 1295–1307. 2 indexed citations

4.

Basu, Jayati, Bernardo Sgarbi Reis, Suraj Peri, et al.. (2021). Essential role of a ThPOK autoregulatory loop in the maintenance of mature CD4+ T cell identity and function. Nature Immunology. 22(8). 969–982. 10 indexed citations

5.

DePasquale, Erica A. K., Daniel Schnell, Phillip J. Dexheimer, et al.. (2019). cellHarmony: cell-level matching and holistic comparison of single-cell transcriptomes. Nucleic Acids Research. 47(21). e138–e138. 42 indexed citations

6.

Hay, Stuart, Kyle Ferchen, Kashish Chetal, H. Leighton Grimes, & Nathan Salomonis. (2018). The Human Cell Atlas bone marrow single-cell interactive web portal. Experimental Hematology. 68. 51–61. 127 indexed citations

7.

Muench, David E., Kyle Ferchen, Chinavenmeni S. Velu, et al.. (2018). SKI controls MDS-associated chronic TGF-β signaling, aberrant splicing, and stem cell fitness. Blood. 132(21). e24–e34. 24 indexed citations

8.

Wang, Yungui, Jennifer R. Skibbe, Chao Hu, et al.. (2017). ALOX5 exhibits anti-tumor and drug-sensitizing effects in MLL-rearranged leukemia. Scientific Reports. 7(1). 1853–1853. 29 indexed citations

9.

Huang, Huilin, Hengyou Weng, Xi Qin, et al.. (2016). The N6-Adenine Methyltransferase METTL14 Plays an Oncogenic Role in Acute Myeloid Leukemia. Blood. 128(22). 1536–1536. 2 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