Wade T. Rogers

1.2k total citations
30 papers, 972 citations indexed

About

Wade T. Rogers is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Wade T. Rogers has authored 30 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Epidemiology. Recurrent topics in Wade T. Rogers's work include Single-cell and spatial transcriptomics (7 papers), Preterm Birth and Chorioamnionitis (6 papers) and Pregnancy and preeclampsia studies (4 papers). Wade T. Rogers is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Preterm Birth and Chorioamnionitis (6 papers) and Pregnancy and preeclampsia studies (4 papers). Wade T. Rogers collaborates with scholars based in United States, Chile and South Korea. Wade T. Rogers's co-authors include James S. Schwaber, Jonni S. Moore, Emile R. Mohler, Keiji Satoh, H.C. Fibiger, Catia Sternini, Nicholas C. Brecha, J. Patrick Card, Francesca Gotsch and Roberto Romero and has published in prestigious journals such as Journal of the American College of Cardiology, The Journal of Comparative Neurology and Journal of Neurophysiology.

In The Last Decade

Wade T. Rogers

29 papers receiving 946 citations

Peers

Wade T. Rogers
Comparison fields: 5 of 103
  • Molecular Biology 290
  • Epidemiology 249
  • Cellular and Molecular Neuroscience 193
  • Immunology 152
  • Obstetrics and Gynecology 135
Replace Elena Colombo with:
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Ana A. Baburamani United Kingdom
Pedro M. Pimentel‐Coelho Brazil
Bina Shah United States
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Citations per field, relative to Wade T. Rogers
Wade T. Rogers · 1×
Citations per year, relative to Wade T. Rogers
Wade T. Rogers · 1×

Countries citing papers authored by Wade T. Rogers

Since Specialization
Citations

This map shows the geographic impact of Wade T. Rogers'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 Wade T. Rogers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wade T. Rogers more than expected).

Fields of papers citing papers by Wade T. Rogers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wade T. Rogers

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 15
3 43
4 1
5 13
6 5
7 68
8 50
9 57
10 31
11 59
12
Silicon baroreceptors: modeling cardiovascular pressure transduction in analog VLSI
2
13 16
14 42
15 18
16 31
17 116
18 97
19 7
20 18

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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