Mark T. Miedel

806 citations
26 papers · 541 indexed · h-index 11
Topics
Genetics, Aging, and Longevity in Model Organisms (7 papers)Endoplasmic Reticulum Stress and Disease (5 papers)Liver Disease Diagnosis and Treatment (4 papers)
Partner nations
United StatesChinaPoland

In The Last Decade

Mark T. Miedel

26 papers receiving 532 citations

Peers

Mark T. Miedel
Comparison fields: 5 of 75
  • Molecular Biology 160
  • Biomedical Engineering 145
  • Physiology 138
  • Cell Biology 117
  • Sensory Systems 93
Replace Christian Spangenberg with:
Christian Spangenberg Germany
Michal Eisenberg‐Bord Israel
Philippe Pihán Chile
Rika van Huizen United States
Joon No Lee South Korea
Jemma L. Webber United States
Bo-Jhih Guan United States
Chan Chung United States
Laurence Suaud United States
Mark T. Miedel relative to Christian Spangenberg Germany Christian Spangenberg's profile →
Citations per field
00.5×5.5×
Christian Spangenberg · 1×
Citations per year

Countries citing papers authored by Mark T. Miedel

Since Specialization
Citations

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

Fields of papers citing papers by Mark T. Miedel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark T. Miedel

This figure shows the co-authorship network connecting the top 25 collaborators of Mark T. Miedel. A scholar is included among the top collaborators of Mark T. Miedel 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 Mark T. Miedel. Mark T. Miedel 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
#WorkIndexed citations
1 2
2 2
3 7
4 5
5 8
6 6
7 140
8 10
9 17
10 14
11 15
12 1
13 8
14 3
15 24
16 44
17 36
18 6
19 54
20 7

About Mark T. Miedel

Mark T. Miedel is a scholar working on Aging, Physiology and Cell Biology, having authored 26 papers that have together received 541 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Aging (64 citations), Physiology (138 citations) and Sensory Systems (93 citations). Mark T. Miedel has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Ora A. Weisz, Kelly M. Weixel, Albert Gough, Kirill Kiselyov, Lawrence A. Vernetti, Richard DeBiasio, Ryan M. Reddinger, Cliff J. Luke, Gary A. Silverman and Tongying Shun. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Cell Biology.

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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