Todd S. Macfarlan

7.2k total citations · 2 hit papers
48 papers, 4.7k citations indexed

About

Todd S. Macfarlan is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Todd S. Macfarlan has authored 48 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 16 papers in Plant Science and 5 papers in Genetics. Recurrent topics in Todd S. Macfarlan's work include Genomics and Chromatin Dynamics (24 papers), Chromosomal and Genetic Variations (16 papers) and Epigenetics and DNA Methylation (14 papers). Todd S. Macfarlan is often cited by papers focused on Genomics and Chromatin Dynamics (24 papers), Chromosomal and Genetic Variations (16 papers) and Epigenetics and DNA Methylation (14 papers). Todd S. Macfarlan collaborates with scholars based in United States, China and Switzerland. Todd S. Macfarlan's co-authors include Samuel L. Pfaff, Wesley D. Gifford, Debabrata Chakravarti, Shawn P. Driscoll, Didier Trono, Karen Lettieri, Helen M. Rowe, Dario Bonanomi, Oded Singer and Amy L. Firth and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Todd S. Macfarlan

46 papers receiving 4.6k citations

Hit Papers

Embryonic stem cell potency fluctuates with endogenous re... 2012 2026 2016 2021 2012 2018 250 500 750

Peers

Todd S. Macfarlan
Comparison fields: 5 of 109
  • Molecular Biology 4.0k
  • Plant Science 1.6k
  • Genetics 686
  • Immunology 311
  • Cancer Research 310
Replace Prim B. Singh with:
Prim B. Singh United Kingdom
Steffen Heyne Germany
Fabian Kilpert Germany
Frédéric Chédin United States
José L. García-Pérez Spain
Dale Dorsett United States
Kazutoyo Osoegawa United States
Peter D. Rathjen Australia
Alexander Schleiffer Austria
Darryl Conte United States
Prim B. Singh United Kingdom View profile →
Citations per field, relative to Todd S. Macfarlan
Todd S. Macfarlan · 1×
Citations per year, relative to Todd S. Macfarlan
Todd S. Macfarlan · 1×

Countries citing papers authored by Todd S. Macfarlan

Since Specialization
Citations

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

Fields of papers citing papers by Todd S. Macfarlan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd S. Macfarlan. 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 Todd S. Macfarlan. The network helps show where Todd S. Macfarlan may publish in the future.

Co-authorship network of co-authors of Todd S. Macfarlan

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 17
3 14
4 11
5 30
6 147
7 13
8 54
9 119
10 166
11 120
12 25
13 102
14
Embryonic stem cell potency fluctuates with endogenous retrovirus activity breakdown →
807
15 121
16 209
17 147
18 82
19 120
20 171

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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