Marlene Wade

671 citations
20 papers · 544 · h-index 12

Impact in

Papers in

    • TGF-β signaling in diseases 2
    • Epigenetics and DNA Methylation 2
    • Molecular Biology Techniques and Applications 2
    • Hypothalamic control of reproductive hormones 6
    • Ovarian function and disorders 6

Marlene Wade

20 papers receiving 528 citations

Peers

Marlene Wade
Comparison fields: 5 of 94
  • Endocrine and Autonomic Systems 64
  • Genetics 87
  • Reproductive Medicine 60
  • Hematology 71
  • Developmental Neuroscience 23
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R Tsuda Japan
Johann Guillemot France
Louise Dickson United Kingdom
Yasuhiro Adachi Japan
Sang Kyu Park South Korea
Ronald I. Jacobson United States
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Citations per field
00.5×4.8×
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Citations per year

Countries citing papers authored by Marlene Wade

Since Specialization
Citations

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

Fields of papers citing papers by Marlene Wade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2003119
2 200267
3 198966
4 201161
5 200843
6 201139
7 201329
8 199723
9 199215
10 199514
11 199313
12 199312
13 201711
14 19999
15 20027
16 20086
17
Using a cationic carbocyanine dye to assess RNA loading in Northern gel analysis.
19925
18
Control of buffer pH during agarose gel electrophoresis of glyoxylated RNA.
19913
19 19961
20
Alpha-thalassemia changes the cell density profile in sickle cell anaemia.
19891

About Marlene Wade

Marlene Wade is a scholar working on Molecular Biology, Reproductive Medicine, Genetics, Hematology and Behavioral Neuroscience, having authored 20 papers that have together received 544 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (6 papers), Ovarian function and disorders (6 papers), Hemoglobinopathies and Related Disorders (5 papers), TGF-β signaling in diseases (2 papers), Epigenetics and DNA Methylation (2 papers), Molecular Biology Techniques and Applications (2 papers), Blood groups and transfusion (2 papers) and Reproductive Physiology in Livestock (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (64 citations), Genetics (87 citations), Reproductive Medicine (60 citations), Hematology (71 citations) and Developmental Neuroscience (23 citations). Marlene Wade has collaborated with scholars based in United States, Brazil and Switzerland. Frequent co-authors include Virendra B. Mahesh, Darrell W. Brann, Krishnan M. Dhandapani, Liesl De Sevilla, Martin Hadman, Steffen E. Meiler, Chen‐Lin Chang, Burra V. Madhukar, James E. Trosko and Abdullah Kutlar. Their work appears in journals such as Steroids, The Journal of Steroid Biochemistry and Molecular Biology, Blood, Carcinogenesis and Neuroendocrinology.

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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