Marilyn Lamm

1.2k citations
27 papers · 986 indexed · h-index 17

Impact in

Papers in

    • Hypothalamic control of reproductive hormones 5
    • Hedgehog Signaling Pathway Studies 10
    • Protein Kinase Regulation and GTPase Signaling 6
    • TGF-β signaling in diseases 4
    • Receptor Mechanisms and Signaling 4

Marilyn Lamm

27 papers receiving 965 citations

Peers

Marilyn Lamm
Comparison fields: 5 of 72
  • Urology 102
  • Reproductive Medicine 94
  • Molecular Biology 758
  • Genetics 181
  • Oncology 170
Replace Youlin Deng with:
Youlin Deng China
Joon Won Yoon United States
Ronald L. Chandler United States
Jiang Fu United States
José Luis Montiel-Hernández Mexico
Hsiao‐Man Ivy Yu United States
Chih‐Chiun Chen United States
N S Thomas United Kingdom
Fengtao Luo China
Anita B. Roberts United States
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Citations per field
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Citations per year

Countries citing papers authored by Marilyn Lamm

Since Specialization
Citations

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

Fields of papers citing papers by Marilyn Lamm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Marilyn Lamm, 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 Marilyn Lamm Line = papers co-authored together Marilyn Lamm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20211
2 202024
3 20151
4 201529
5 201344
6 201227
7 200940
8
The Hedgehog Signaling Pathway in Development and Disease
20082
9 2004228
10 200351
11 2002133
12 2001122
13 200132
14 199838
15 199823
16 199728
17 199613
18 199415
19 199126
20
On the role of vitamin D in calcification.
195818

About Marilyn Lamm

Marilyn Lamm is a scholar working on Reproductive Medicine, Molecular Biology, Urology, Agronomy and Crop Science and Genetics, having authored 27 papers that have together received 986 indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (10 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Hypothalamic control of reproductive hormones (5 papers), TGF-β signaling in diseases (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Receptor Mechanisms and Signaling (4 papers), Reproductive Physiology in Livestock (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Urology (102 citations), Reproductive Medicine (94 citations), Molecular Biology (758 citations), Genetics (181 citations) and Oncology (170 citations). Marilyn Lamm has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Wade Bushman, Philip M. Iannaccone, David Walterhouse, Mary Hunzicker-Dunn, Daniel Barnett, Christy M. Hebner, Chung Lee, Jodi Zarycki, Lian Fan and Carmen V. Pepicelli. Their work appears in journals such as Endocrinology, Journal of Biological Chemistry, Developmental Biology, Molecular Cancer and Molecular Cancer Research.

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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