Linda A. Lowe

2.5k citations
15 papers · 2.1k indexed · 1 hit paper · h-index 12
Topics
Developmental Biology and Gene Regulation (8 papers)Congenital heart defects research (7 papers)Pluripotent Stem Cells Research (3 papers)

In The Last Decade

Linda A. Lowe

15 papers receiving 2.0k citations

Hit Papers

Nodal is a novel TGF-β-like gene expressed in the mouse n...19932026200420151993100200300400500

Peers

Linda A. Lowe
Comparison fields: 5 of 97
  • Molecular Biology 1.8k
  • Genetics 613
  • Cell Biology 216
  • Surgery 179
  • Cognitive Neuroscience 131
Replace Michio Yoshida with:
Michio Yoshida Japan
Brett Casey United States
Jamie L. Lohr United States
Nicole Van Regemorter Belgium
Emma Lou Cardell United States
Giuseppe Pilia United States
Suzanna G.M. Frints Netherlands
A. Faiella Italy
Kyoko Mochida Japan
Denise Malicki United States
Linda A. Lowe relative to Michio Yoshida Japan Michio Yoshida's profile →
Citations per field
00.5×1.5×2.0×
Michio Yoshida · 1×
Citations per year

Countries citing papers authored by Linda A. Lowe

Since Specialization
Citations

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

Fields of papers citing papers by Linda A. Lowe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda A. Lowe

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 20
2 14
3 56
4 6
5 77
6 272
7 35
8 6
9 162
10 296
11 181
12 385
13
Nodal is a novel TGF-β-like gene expressed in the mouse node during gastrulationbreakdown →
518
14
Use of superovulated mice as embryo donors for ES cell injection chimeras.
5
15
Homologous recombination involving small single-stranded oligonucleotides in human cells.
49

About Linda A. Lowe

Linda A. Lowe is a scholar working on Molecular Biology, Obstetrics and Gynecology and Genetics, having authored 15 papers that have together received 2.1k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (8 papers), Congenital heart defects research (7 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Genetics (613 citations) and Cell Biology (216 citations). Linda A. Lowe has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Michael R. Kuehn, Hiroshi Sasaki, Brigid L.M. Hogan, Xunlei Zhou, Satoru Yamada, Dorothy M. Supp, S. Steven Potter, Paul A. Overbeek, Karuna Sampath and Christopher V.E. Wright. Their work appears in journals such as Nature, Development and Developmental Biology.

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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