Jennifer A. Erwin

5.7k citations
25 papers · 3.0k indexed · 1 hit paper · h-index 16
Topics
CRISPR and Genetic Engineering (8 papers)Pluripotent Stem Cells Research (7 papers)Single-cell and spatial transcriptomics (6 papers)

In The Last Decade

Jennifer A. Erwin

24 papers receiving 2.9k citations

Hit Papers

Polycomb Proteins Targeted by a Short Repeat RNA to the M...200820262014202020084008001.2k

Peers

Jennifer A. Erwin
Comparison fields: 5 of 105
  • Molecular Biology 2.5k
  • Cancer Research 977
  • Genetics 609
  • Plant Science 337
  • Cellular and Molecular Neuroscience 178
Replace Eirene Markenscoff-Papadimitriou with:
Eirene Markenscoff-Papadimitriou United States
Tilmann Achsel Italy
T. Grant Belgard United States
Donny D. Licatalosi United States
Kathleen A. Worringer United States
Ronald G. Lafrenière Canada
Xinxian Deng United States
Jennifer C. Darnell United States
Rosa Castanon United States
Caleb Webber United Kingdom
Jennifer A. Erwin relative to Eirene Markenscoff-Papadimitriou United States Eirene Markenscoff-Papadimitriou's profile →
Citations per field
00.5×1.5×2.1×
Eirene Markenscoff-Papadimitriou · 1×
Citations per year

Countries citing papers authored by Jennifer A. Erwin

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer A. Erwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer A. Erwin. 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 Jennifer A. Erwin. The network helps show where Jennifer A. Erwin may publish in the future.

Co-authorship network of co-authors of Jennifer A. Erwin

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer A. Erwin. A scholar is included among the top collaborators of Jennifer A. Erwin 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 Jennifer A. Erwin. Jennifer A. Erwin 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
#WorkIndexed citations
1 2
2 5
3 1
4 2
5 17
6 70
7 99
8 31
9 278
10 121
11 38
12 124
13 136
14 192
15 303
16
Polycomb Proteins Targeted by a Short Repeat RNA to the Mouse X Chromosomebreakdown →
1245
17 38
18 68
19 1
20 101

About Jennifer A. Erwin

Jennifer A. Erwin is a scholar working on Genetics, Biological Psychiatry and Molecular Biology, having authored 25 papers that have together received 3.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Pluripotent Stem Cells Research (7 papers) and Single-cell and spatial transcriptomics (6 papers). The work is most often cited by research in Cancer Research (977 citations), Molecular Biology (2.5k citations) and Developmental Neuroscience (94 citations). Jennifer A. Erwin has collaborated with scholars based in United States, Australia and Singapore. Frequent co-authors include Jeannie T. Lee, Ji‐Joon Song, Jing Zhao, Bryan K. Sun, Fred H. Gage, Maria C. Marchetto, Apuã C.M. Paquola, Roger S. Lasken, Patrick R. Hof and Rudolf Jaenisch. Their work appears in journals such as Science, Cell and Nature Communications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026