Nico Pierson

2.1k total citations · 3 hit papers
6 papers, 1.2k citations indexed

About

Nico Pierson is a scholar working on Molecular Biology, Social Psychology and Endocrine and Autonomic Systems. According to data from OpenAlex, Nico Pierson has authored 6 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Social Psychology and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Nico Pierson's work include Single-cell and spatial transcriptomics (6 papers), RNA Research and Splicing (2 papers) and Genomics and Chromatin Dynamics (2 papers). Nico Pierson is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), RNA Research and Splicing (2 papers) and Genomics and Chromatin Dynamics (2 papers). Nico Pierson collaborates with scholars based in United States, United Kingdom and Australia. Nico Pierson's co-authors include Long Cai, Guo‐Cheng Yuan, Kan Liu, Sheel Shah, Qian Zhu, Rani E. George, Huipeng Li, Ruben Dries, Rui Dong and Feng Bao and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Nico Pierson

5 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Giotto: a toolbox for integrative analysis and visualization of spatial expression data

2021 510 citations Ruben Dries, Qian Zhu et al. Genome biology profile →
Integrated spatial genomics reveals global architecture of single nuclei

2021 249 citations Yodai Takei, Jina Yun et al. Nature profile →
Integration of spatial and single-cell transcriptomic data elucidates mouse organogenesis

2021 169 citations Tim Lohoff, Shila Ghazanfar et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nico Pierson United States	5	993	188	151	114	78	6	1.2k
Noushin Koulena United States	7	1.5k 1.5×	343 1.8×	243 1.6×	225 2.0×	71 0.9×	9	1.8k
Andrew Knights United Kingdom	10	625 0.6×	35 0.2×	125 0.8×	101 0.9×	229 2.9×	12	915
Michael J. McConnell United States	11	800 0.8×	46 0.2×	111 0.7×	156 1.4×	203 2.6×	18	1.1k
Cindy Liu United States	3	879 0.9×	201 1.1×	156 1.0×	125 1.1×	36 0.5×	6	1.0k
Daniela J. Di Bella United States	7	851 0.9×	130 0.7×	162 1.1×	139 1.2×	42 0.5×	9	1.0k
Alina Isakova United States	13	707 0.7×	26 0.1×	305 2.0×	156 1.4×	98 1.3×	18	1.2k
Huiqing Zhan United States	12	485 0.5×	74 0.4×	90 0.6×	118 1.0×	68 0.9×	16	848
Ryoji Amamoto United States	8	847 0.9×	157 0.8×	102 0.7×	157 1.4×	43 0.6×	10	1.1k
Silas Maniatis United States	7	558 0.6×	35 0.2×	137 0.9×	87 0.8×	81 1.0×	7	990
Mohamed Nadhir Djekidel United States	15	701 0.7×	21 0.1×	66 0.4×	127 1.1×	111 1.4×	29	915

Countries citing papers authored by Nico Pierson

Since Specialization

Citations

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

Fields of papers citing papers by Nico Pierson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nico Pierson

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

All Works

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6 of 6 papers shown

1.

Harland, Luke, Tim Lohoff, Noushin Koulena, et al.. (2025). A spatiotemporal atlas of mouse gastrulation and early organogenesis to explore axial patterning and project in vitro models onto in vivo space. Cell Reports. 44(8). 116047–116047.

2.

Takei, Yodai, Shiwei Zheng, Jina Yun, et al.. (2021). Single-cell nuclear architecture across cell types in the mouse brain. Science. 374(6567). 586–594. 80 indexed citations

3.

Takei, Yodai, Jina Yun, Shiwei Zheng, et al.. (2021). Integrated spatial genomics reveals global architecture of single nuclei. Nature. 590(7845). 344–350. 249 indexed citations breakdown →

4.

Dries, Ruben, Qian Zhu, Rui Dong, et al.. (2021). Giotto: a toolbox for integrative analysis and visualization of spatial expression data. Genome biology. 22(1). 78–78. 510 indexed citations breakdown →

5.

Lohoff, Tim, Shila Ghazanfar, Alsu Missarova, et al.. (2021). Integration of spatial and single-cell transcriptomic data elucidates mouse organogenesis. Nature Biotechnology. 40(1). 74–85. 169 indexed citations breakdown →

6.

Kim, Dong‐Wook, Zizhen Yao, Lucas T. Graybuck, et al.. (2019). Multimodal Analysis of Cell Types in a Hypothalamic Node Controlling Social Behavior. Cell. 179(3). 713–728.e17. 166 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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