Rowan M. Karvas

625 citations
11 papers · 438 indexed · 1 hit paper · h-index 9
Topics
Pluripotent Stem Cells Research (4 papers)Pregnancy and preeclampsia studies (3 papers)CRISPR and Genetic Engineering (3 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Rowan M. Karvas

11 papers receiving 436 citations

Hit Papers

Stem-cell-derived trophoblast organoids model human place...20222026202320242022255075100

Peers

Rowan M. Karvas
Comparison fields: 5 of 68
  • Molecular Biology 305
  • Obstetrics and Gynecology 107
  • Pediatrics, Perinatology and Child Health 86
  • Immunology 67
  • Public Health, Environmental and Occupational Health 53
Replace Koh‐ichiro Yoshiura with:
Koh‐ichiro Yoshiura Japan
Silvia Maitz Italy
Romulo Hurtado United States
Heather Chapman United States
Leila Christie United Kingdom
Alida C. Knegt Netherlands
Harunobu Kagawa Austria
Laurence Lœuillet France
Yixin Ren China
Meenakshi Choudhary United Kingdom
Rowan M. Karvas relative to Koh‐ichiro Yoshiura Japan Koh‐ichiro Yoshiura's profile →
Citations per field
00.5×4.6×
Koh‐ichiro Yoshiura · 1×
Citations per year

Countries citing papers authored by Rowan M. Karvas

Since Specialization
Citations

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

Fields of papers citing papers by Rowan M. Karvas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rowan M. Karvas. 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 Rowan M. Karvas. The network helps show where Rowan M. Karvas may publish in the future.

Co-authorship network of co-authors of Rowan M. Karvas

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 17
2 4
3 3
4 66
5 38
6
Stem-cell-derived trophoblast organoids model human placental development and susceptibility to emerging pathogensbreakdown →
101
7 11
8 34
9 56
10 47
11 61

About Rowan M. Karvas

Rowan M. Karvas is a scholar working on Obstetrics and Gynecology, Developmental Neuroscience and Immunology, having authored 11 papers that have together received 438 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Pregnancy and preeclampsia studies (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Obstetrics and Gynecology (107 citations), Genetics (48 citations) and Molecular Biology (305 citations). Rowan M. Karvas has collaborated with scholars based in United States, China and France. Frequent co-authors include Thorold W. Theunissen, Danny A. Stark, Ashley L. Siegel, DDW Cornelison, Laura A. Fischer, Chen Dong, Dennis E. Hallahan, Dinesh Thotala, T.A. DeWees and Kyoung‐mi Park. Their work appears in journals such as Nature Communications, Development and Cell stem 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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