Conor Fitzpatrick

3.8k total citations · 1 hit paper
5 papers, 1.4k citations indexed

About

Conor Fitzpatrick is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Conor Fitzpatrick has authored 5 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Neurology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Conor Fitzpatrick's work include Single-cell and spatial transcriptomics (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Epigenetics and DNA Methylation (2 papers). Conor Fitzpatrick is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Epigenetics and DNA Methylation (2 papers). Conor Fitzpatrick collaborates with scholars based in United States, Netherlands and Switzerland. Conor Fitzpatrick's co-authors include Carolyn O’Connor, Baptiste N. Jaeger, Fred H. Gage, Johannes C. M. Schlachetzki, David Gosselin, Michael L. Levy, Christopher K. Glass, Monique Pena, David Gonda and Amy Adair and has published in prestigious journals such as Science, Nature Communications and Nature Methods.

In The Last Decade

Conor Fitzpatrick

5 papers receiving 1.4k 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.

An environment-dependent transcriptional network specifies human microglia identity

2017 795 citations David Gosselin, Dylan Skola et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Conor Fitzpatrick United States	5	735	718	433	182	164	5	1.4k
Monique Pena United States	6	583 0.8×	683 1.0×	422 1.0×	185 1.0×	220 1.3×	7	1.3k
Baptiste N. Jaeger United States	16	943 1.3×	795 1.1×	895 2.1×	251 1.4×	310 1.9×	21	2.3k
Rebecca K. Simmons United States	10	709 1.0×	360 0.5×	185 0.4×	282 1.5×	69 0.4×	12	1.2k
Marjolein A. M. Sneeboer Netherlands	13	545 0.7×	824 1.1×	376 0.9×	204 1.1×	258 1.6×	18	1.4k
Jerika J. Barron United States	7	432 0.6×	421 0.6×	195 0.5×	84 0.5×	157 1.0×	9	945
Daniel Poppe Australia	11	1.4k 1.9×	363 0.5×	210 0.5×	332 1.8×	145 0.9×	13	1.9k
Ana Badimon United States	6	384 0.5×	454 0.6×	238 0.5×	109 0.6×	121 0.7×	7	881
Melanie A. Huntley United States	14	758 1.0×	971 1.4×	431 1.0×	579 3.2×	78 0.5×	19	1.8k
Hannah M. Gibbons New Zealand	20	317 0.4×	482 0.7×	246 0.6×	152 0.8×	190 1.2×	24	1.1k
Rodrigo Herrera‐Molina Chile	23	603 0.8×	252 0.4×	116 0.3×	155 0.9×	113 0.7×	32	1.2k

Countries citing papers authored by Conor Fitzpatrick

Since Specialization

Citations

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

Fields of papers citing papers by Conor Fitzpatrick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Conor Fitzpatrick

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

All Works

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5 of 5 papers shown

1.

Lee, Dong-Sung, Chongyuan Luo, Jingtian Zhou, et al.. (2019). Simultaneous profiling of 3D genome structure and DNA methylation in single human cells. Nature Methods. 16(10). 999–1006. 191 indexed citations

2.

Luo, Chongyuan, Angeline Rivkin, Jingtian Zhou, et al.. (2018). Robust single-cell DNA methylome profiling with snmC-seq2. Nature Communications. 9(1). 3824–3824. 101 indexed citations

3.

Jaeger, Baptiste N., Sara B. Linker, Sarah Parylak, et al.. (2018). A novel environment-evoked transcriptional signature predicts reactivity in single dentate granule neurons. Nature Communications. 9(1). 3084–3084. 64 indexed citations

4.

Gosselin, David, Dylan Skola, Nicole G. Coufal, et al.. (2017). An environment-dependent transcriptional network specifies human microglia identity. Science. 356(6344). 795 indexed citations breakdown →

5.

Lacar, Benjamin, Sara B. Linker, Baptiste N. Jaeger, et al.. (2016). Nuclear RNA-seq of single neurons reveals molecular signatures of activation. Nature Communications. 7(1). 11022–11022. 278 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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