Nathan D. Lord

1.2k total citations
11 papers, 754 citations indexed

About

Nathan D. Lord is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Nathan D. Lord has authored 11 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Genetics. Recurrent topics in Nathan D. Lord's work include Gene Regulatory Network Analysis (4 papers), Single-cell and spatial transcriptomics (3 papers) and CRISPR and Genetic Engineering (3 papers). Nathan D. Lord is often cited by papers focused on Gene Regulatory Network Analysis (4 papers), Single-cell and spatial transcriptomics (3 papers) and CRISPR and Genetic Engineering (3 papers). Nathan D. Lord collaborates with scholars based in United States, Switzerland and Austria. Nathan D. Lord's co-authors include Johan Paulsson, Thomas M. Norman, Richard Losick, Laurent Potvin-Trottier, Glenn Vinnicombe, Stephan Uphoff, David J. Sherratt, Burak Okumuş, Alexander F. Schier and Katherine W. Rogers and has published in prestigious journals such as Nature, Science and Genes & Development.

In The Last Decade

Nathan D. Lord

10 papers receiving 751 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nathan D. Lord United States	8	603	281	101	83	75	11	754
Dirk Landgraf United States	12	627 1.0×	205 0.7×	58 0.6×	120 1.4×	69 0.9×	14	798
Sidhartha Goyal Canada	11	512 0.8×	210 0.7×	70 0.7×	40 0.5×	57 0.8×	21	641
Laurent Potvin-Trottier Canada	9	387 0.6×	134 0.5×	118 1.2×	99 1.2×	25 0.3×	11	520
Octavio Mondragón-Palomino United States	8	894 1.5×	242 0.9×	404 4.0×	87 1.0×	63 0.8×	12	1.2k
Miri Carmi Israel	14	1.4k 2.3×	314 1.1×	45 0.4×	78 0.9×	30 0.4×	21	1.5k
Xiongfei Fu China	8	450 0.7×	209 0.7×	245 2.4×	21 0.3×	70 0.9×	26	841
Juan Manuel Pedraza United States	10	1.3k 2.1×	544 1.9×	152 1.5×	166 2.0×	60 0.8×	23	1.5k
Ari E. Friedland United States	7	1.4k 2.3×	355 1.3×	87 0.9×	32 0.4×	54 0.7×	10	1.5k
Robert Sidney Cox United States	9	1.1k 1.8×	357 1.3×	236 2.3×	108 1.3×	52 0.7×	14	1.2k
Shai Kaplan Israel	13	617 1.0×	212 0.8×	43 0.4×	37 0.4×	29 0.4×	15	723

Countries citing papers authored by Nathan D. Lord

Since Specialization

Citations

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

Fields of papers citing papers by Nathan D. Lord

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan D. Lord. 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 Nathan D. Lord. The network helps show where Nathan D. Lord may publish in the future.

Co-authorship network of co-authors of Nathan D. Lord

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan D. Lord. A scholar is included among the top collaborators of Nathan D. Lord 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 Nathan D. Lord. Nathan D. Lord 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

1.

McNamara, Harold M., Bill Jia, Vicente Parot, et al.. (2025). Optogenetic control of Nodal signaling patterns. Development. 152(9). 1 indexed citations

2.

Santiago, Clayton P., Kiara C. Eldred, Ian A. Glass, et al.. (2025). DIO3 coordinates photoreceptor development timing and fate stability in human retinal organoids. Genes & Development. 40(1-2). 70–93.

3.

Grimm, Sandra L., et al.. (2024). Temporal dynamics of BMP/Nodal ratio drive tissue-specific gastrulation morphogenesis. Development. 152(9). 3 indexed citations

4.

Lord, Nathan D., et al.. (2021). The pattern of nodal morphogen signaling is shaped by co-receptor expression. eLife. 10. 22 indexed citations

5.

Lord, Nathan D., et al.. (2019). Stochastic antagonism between two proteins governs a bacterial cell fate switch. Science. 366(6461). 116–120. 42 indexed citations

6.

Norris, Megan L., Andrea Pauli, James A. Gagnon, et al.. (2017). Toddler signaling regulates mesodermal cell migration downstream of Nodal signaling. eLife. 6. 25 indexed citations

7.

Rogers, Katherine W., Nathan D. Lord, James A. Gagnon, et al.. (2017). Nodal patterning without Lefty inhibitory feedback is functional but fragile. eLife. 6. 51 indexed citations

8.

Potvin-Trottier, Laurent, Nathan D. Lord, Glenn Vinnicombe, & Johan Paulsson. (2016). Synchronous long-term oscillations in a synthetic gene circuit. Nature. 538(7626). 514–517. 198 indexed citations

9.

Uphoff, Stephan, Nathan D. Lord, Burak Okumuş, et al.. (2016). Stochastic activation of a DNA damage response causes cell-to-cell mutation rate variation. Science. 351(6277). 1094–1097. 101 indexed citations

10.

Norman, Thomas M., Nathan D. Lord, Johan Paulsson, & Richard Losick. (2015). Stochastic Switching of Cell Fate in Microbes. Annual Review of Microbiology. 69(1). 381–403. 127 indexed citations

11.

Norman, Thomas M., Nathan D. Lord, Johan Paulsson, & Richard Losick. (2013). Memory and modularity in cell-fate decision making. Nature. 503(7477). 481–486. 184 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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