Rachel Sealfon

8.0k citations
16 papers · 735 indexed · h-index 11
Topics
SARS-CoV-2 and COVID-19 Research (3 papers)Single-cell and spatial transcriptomics (3 papers)Bioinformatics and Genomic Networks (3 papers)
Partner nations
United StatesJapanCanada

In The Last Decade

Rachel Sealfon

16 papers receiving 720 citations

Peers

Rachel Sealfon
Comparison fields: 5 of 102
  • Molecular Biology 459
  • Infectious Diseases 231
  • Immunology 81
  • Ecology 78
  • Genetics 60
Replace Franziska Kriegenburg with:
Franziska Kriegenburg Denmark
Charlie Laffeber Netherlands
Thérèsa L. Coetzer South Africa
Timur Mackens‐Kiani Germany
Dorthe von Smolinski Germany
O. V. Matveeva Russia
Jan Baumann Germany
Upendra Katneni United States
Orel Mizrahi Israel
Shira Weingarten-Gabbay Israel
Rachel Sealfon relative to Franziska Kriegenburg Denmark Franziska Kriegenburg's profile →
Citations per field
00.5×1.6×
Franziska Kriegenburg · 1×
Citations per year

Countries citing papers authored by Rachel Sealfon

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Sealfon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Sealfon

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 3
2 16
3 51
4 51
5 118
6 3
7 21
8 1
9 25
10 240
11 81
12 44
13 26
14 8
15
High depth, whole-genome sequencing of cholera isolates from Haiti and the
1
16 46

About Rachel Sealfon

Rachel Sealfon is a scholar working on Biophysics, Endocrinology and Nephrology, having authored 16 papers that have together received 735 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Single-cell and spatial transcriptomics (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Infectious Diseases (231 citations), Molecular Biology (459 citations) and Health Informatics (7 citations). Rachel Sealfon has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Manolis Kellis, Irwin Jungreis, Olga G. Troyanskaya, Chandra L. Theesfeld, Aaron K. Wong, Kevin M. Weeks, Grace A. McLaughlin, Christine Roden, Christiane Iserman and Amy S. Gladfelter. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Molecular Cell.

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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