Michael H. Nichols

1.6k total citations · 1 hit paper
7 papers, 755 citations indexed

About

Michael H. Nichols is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Michael H. Nichols has authored 7 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Plant Science and 2 papers in Genetics. Recurrent topics in Michael H. Nichols's work include Genomics and Chromatin Dynamics (5 papers), Plant Molecular Biology Research (3 papers) and RNA and protein synthesis mechanisms (3 papers). Michael H. Nichols is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Plant Molecular Biology Research (3 papers) and RNA and protein synthesis mechanisms (3 papers). Michael H. Nichols collaborates with scholars based in United States, Australia and France. Michael H. Nichols's co-authors include Victor G. Corces, M. Jordan Rowley, Karen Hermetz, Masami Ando‐Kuri, Ping Wang, S. Rivera, Yijun Ruan, Xiaowen Lyu, Kevin Van Bortle and Chin‐Tong Ong and has published in prestigious journals such as Molecular Cell, Genome Research and Nature Structural & Molecular Biology.

In The Last Decade

Michael H. Nichols

7 papers receiving 751 citations

Hit Papers

align trajectories sort by overperformance

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.

Evolutionarily Conserved Principles Predict 3D Chromatin Organization

2017 360 citations M. Jordan Rowley, Michael H. Nichols et al. Molecular Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael H. Nichols United States	7	728	297	92	24	18	7	755
Huy Q. Nguyen United States	7	448 0.6×	166 0.6×	54 0.6×	18 0.8×	12 0.7×	8	487
Wanqing Shao United States	8	439 0.6×	125 0.4×	50 0.5×	18 0.8×	17 0.9×	10	477
Sedona E. Murphy United States	8	560 0.8×	157 0.5×	56 0.6×	37 1.5×	13 0.7×	9	590
Johanna Gassler Austria	7	981 1.3×	338 1.1×	124 1.3×	47 2.0×	26 1.4×	9	1.0k
Angéline Eymery France	7	402 0.6×	230 0.8×	64 0.7×	33 1.4×	6 0.3×	7	438
Qiangwei Zhou China	12	443 0.6×	294 1.0×	74 0.8×	46 1.9×	10 0.6×	18	605
Aaron Hechmer United States	5	423 0.6×	93 0.3×	72 0.8×	16 0.7×	43 2.4×	8	494
Galip Gürkan Yardımcı United States	6	466 0.6×	157 0.5×	91 1.0×	43 1.8×	19 1.1×	6	502
Elena Slobodyanyuk United States	3	551 0.8×	189 0.6×	53 0.6×	19 0.8×	16 0.9×	4	578
Gengchun Zhao China	7	283 0.4×	231 0.8×	36 0.4×	17 0.7×	17 0.9×	7	354

Countries citing papers authored by Michael H. Nichols

Since Specialization

Citations

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

Fields of papers citing papers by Michael H. Nichols

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael H. Nichols. 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 Michael H. Nichols. The network helps show where Michael H. Nichols may publish in the future.

Co-authorship network of co-authors of Michael H. Nichols

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

All Works

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7 of 7 papers shown

1.

Nichols, Michael H. & Victor G. Corces. (2021). Principles of 3D compartmentalization of the human genome. Cell Reports. 35(13). 109330–109330. 58 indexed citations

2.

Rowley, M. Jordan, Axel Poulet, Michael H. Nichols, et al.. (2020). Analysis of Hi-C data using SIP effectively identifies loops in organisms from C. elegans to mammals. Genome Research. 30(3). 447–458. 58 indexed citations

3.

Kennedy, Elizabeth M., Michael H. Nichols, Chloe Robins, et al.. (2018). An integrated -omics analysis of the epigenetic landscape of gene expression in human blood cells. BMC Genomics. 19(1). 476–476. 25 indexed citations

4.

Nichols, Michael H. & Victor G. Corces. (2018). A tethered-inchworm model of SMC DNA translocation. Nature Structural & Molecular Biology. 25(10). 906–910. 31 indexed citations

5.

Rowley, M. Jordan, Michael H. Nichols, Xiaowen Lyu, et al.. (2017). Evolutionarily Conserved Principles Predict 3D Chromatin Organization. Molecular Cell. 67(5). 837–852.e7. 360 indexed citations breakdown →

6.

Bortle, Kevin Van, Michael H. Nichols, Edward Ramos, & Victor G. Corces. (2015). Integrated tRNA, transcript, and protein profiles in response to steroid hormone signaling. RNA. 21(10). 1807–1817. 6 indexed citations

7.

Bortle, Kevin Van, Michael H. Nichols, Li Li, et al.. (2014). Insulator function and topological domain border strength scale with architectural protein occupancy. Genome biology. 15(5). R82–R82. 217 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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