Doris Germain

4.1k citations
76 papers · 3.2k · h-index 33

Impact in

Papers in

    • Mitochondrial Function and Pathology 21
    • Ubiquitin and proteasome pathways 16
    • Biochemical and Structural Characterization 5
    • ATP Synthase and ATPases Research 5
    • Cancer-related Molecular Pathways 15

Doris Germain

73 papers receiving 3.2k citations

Peers

Doris Germain
Comparison fields: 5 of 101
  • Geriatrics and Gerontology 188
  • Aging 88
  • Cell Biology 560
  • Molecular Biology 2.1k
  • Oncology 724
Replace Michael J. Ausserlechner with:
Michael J. Ausserlechner Austria
Yuewei Qian United States
Ezgi Tasdemir France
Kei Tobiume Japan
Gerta Hoxhaj United States
Arjan B. Brenkman Netherlands
Jim O’Prey United Kingdom
Liankun Sun China
Antonis S. Zervos United States
Hong‐Duck Um South Korea
Doris Germain relative to Michael J. Ausserlechner Austria Michael J. Ausserlechner's profile →
Citations per field
00.5×2.7×
Michael J. Ausserlechner · 1×
Citations per year

Countries citing papers authored by Doris Germain

Since Specialization
Citations

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

Fields of papers citing papers by Doris Germain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013247
2 2007196
3 2011182
4 2008140
5 2004130
6 2014121
7 1999116
8 2014112
9 200086
10 201383
11 201982
12 200581
13 201781
14 201173
15 199563
16 199163
17 201759
18 201456
19 200152
20 201951

About Doris Germain

Doris Germain is a scholar working on Molecular Biology, Oncology, Cell Biology, Epidemiology and Genetics, having authored 76 papers that have together received 3.2k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (21 papers), Ubiquitin and proteasome pathways (16 papers), Endoplasmic Reticulum Stress and Disease (15 papers), Cancer-related Molecular Pathways (15 papers), Autophagy in Disease and Therapy (8 papers), Estrogen and related hormone effects (7 papers), Biochemical and Structural Characterization (5 papers) and ATP Synthase and ATPases Research (5 papers). The work is most often cited by research in Geriatrics and Gerontology (188 citations), Aging (88 citations), Cell Biology (560 citations), Molecular Biology (2.1k citations) and Oncology (724 citations). Doris Germain has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Luena Papa, David A. Frank, Timothy C. Kenny, Joy Hendley, Giovanni Manfredi, David Y. Thomas, Adrian Russell, Susanne Radke, Maria Gomez-Jenkins and Harish Chander. Their work appears in journals such as Oncogene, Cancer Research, Journal of Biological Chemistry, European Journal of Biochemistry and Journal of Cell Science.

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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