Laird C. Sheldahl

3.7k citations
14 papers · 3.1k indexed · 1 hit paper · h-index 12

Laird C. Sheldahl

14 papers receiving 3.0k citations

Hit Papers

The Wnt/Ca2+ pathway7192000202620082017200400600

Peers

Laird C. Sheldahl
Comparison fields: 5 of 105
  • Molecular Biology 2.6k
  • Cell Biology 406
  • Cellular and Molecular Neuroscience 384
  • Developmental Neuroscience 83
  • Genetics 538
Replace Irina Karavanova with:
Irina Karavanova United States
Alar Karis Estonia
Janna Blechman Israel
Atsuo Nakayama Japan
Bettina Erdmann Germany
Roland Nagy Netherlands
Travis L. Biechele United States
Sing-Ping Huang United States
Luke T. Krebs United States
Stephen O’Gorman United States
Laird C. Sheldahl relative to Irina Karavanova United States Irina Karavanova's profile →
Citations per field
00.5×1.5×
Irina Karavanova · 1×
Citations per year

Countries citing papers authored by Laird C. Sheldahl

Since Specialization
Citations

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

Fields of papers citing papers by Laird C. Sheldahl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laird C. Sheldahl. 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 Laird C. Sheldahl. The network helps show where Laird C. Sheldahl may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Laird C. Sheldahl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Laird C. Sheldahl Line = papers co-authored together Laird C. Sheldahl links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200864
2 20072
3
Neuroprotective effects of estrogen and selective estrogen receptor modulators begin at the plasma membrane.
200711
4 200613
5 200675
6 2006103
7 2003270
8 2002217
9 2002254
10 2002368
11 2001183
12
The Wnt/Ca2+ pathwaybreakdown →
2000719
13 2000396
14 1999395

About Laird C. Sheldahl

Laird C. Sheldahl is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Genetics, Endocrine and Autonomic Systems and Reproductive Medicine, having authored 14 papers that have together received 3.1k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (8 papers), Estrogen and related hormone effects (6 papers), Cancer-related gene regulation (6 papers), Menopause: Health Impacts and Treatments (5 papers), Stress Responses and Cortisol (2 papers), Developmental Biology and Gene Regulation (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper) and Hypothalamic control of reproductive hormones (1 paper). The work is most often cited by research in Molecular Biology (2.6k citations), Cell Biology (406 citations), Cellular and Molecular Neuroscience (384 citations), Developmental Neuroscience (83 citations) and Genetics (538 citations). Laird C. Sheldahl has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Randall T. Moon, Michael Kühl, Maiyon Park, Jeffrey R. Miller, Craig C. Malbon, Richard I. Dorsky, Petra Pandur, Diane C. Slusarski, Robert A. Shapiro and Michael Kühl. Their work appears in journals such as The Journal of Cell Biology, Nature Genetics, Endocrinology, Current Biology and Neuroscience.

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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