Marynette Rihanek

1.2k total citations
16 papers, 1.0k citations indexed

About

Marynette Rihanek is a scholar working on Immunology, Genetics and Molecular Biology. According to data from OpenAlex, Marynette Rihanek has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 8 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Marynette Rihanek's work include T-cell and B-cell Immunology (9 papers), Diabetes and associated disorders (8 papers) and Immune Cell Function and Interaction (4 papers). Marynette Rihanek is often cited by papers focused on T-cell and B-cell Immunology (9 papers), Diabetes and associated disorders (8 papers) and Immune Cell Function and Interaction (4 papers). Marynette Rihanek collaborates with scholars based in United States, Netherlands and France. Marynette Rihanek's co-authors include David Trollinger, Carl L. Manthey, David P. Andrew, Jennifer McNinch, Peter A. Gottlieb, Ming‐Shi Chang, Julia Tseng, Mia J. Smith, John C. Cambier and Virginia D. Sarapura and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Marynette Rihanek

16 papers receiving 992 citations

Peers

Marynette Rihanek
Comparison fields: 5 of 88
  • Immunology 459
  • Molecular Biology 403
  • Oncology 262
  • Genetics 180
  • Cancer Research 117
Replace María Ángeles García-López with:
María Ángeles García-López Spain
Garvin L. Warner United States
Kazuhiro Hayashida Japan
Catherine Yin United States
Carmela Beger Germany
Toshimasa Nakagawa Japan
Changhua Ji United States
Cinzia Bagalá Italy
J E Green United States
Emma M. Carrington Australia
María Ángeles García-López Spain View profile →
Citations per field, relative to Marynette Rihanek
Marynette Rihanek · 1×
Citations per year, relative to Marynette Rihanek
Marynette Rihanek · 1×

Countries citing papers authored by Marynette Rihanek

Since Specialization
Citations

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

Fields of papers citing papers by Marynette Rihanek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marynette Rihanek

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 14
2 9
3 8
4 45
5 7
6 68
7 25
8 19
9 40
10 28
11 9
12 20
13 11
14 229
15
Differential expression and activation of p38 mitogen-activated protein kinase alpha, beta, gamma, and delta in inflammatory cell lineages.
249
16 231

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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