Maimon E. Hubbi

2.6k citations
22 papers · 1.6k · h-index 16

Impact in

Papers in

    • Cancer, Hypoxia, and Metabolism 14
    • Mitochondrial Function and Pathology 6
    • Signaling Pathways in Disease 2
    • Epigenetics and DNA Methylation 2
    • RNA modifications and cancer 2

Maimon E. Hubbi

20 papers receiving 1.6k citations

Peers

Maimon E. Hubbi
Comparison fields: 5 of 97
  • Cancer Research 698
  • Geriatrics and Gerontology 125
  • Molecular Biology 845
  • Cell Biology 175
  • Physiology 46
Replace Hongxia Hu with:
Hongxia Hu United States
Vito D’Agostino Italy
Moon-Kyoung Bae South Korea
Stephanie Zhi-Juan Xie Canada
Vishwas Parekh United States
Mark Eckersdorff United States
Christine Naczki United States
Meixia Bi United States
Yann Nouët France
Polina Iakova United States
Maimon E. Hubbi relative to Hongxia Hu United States Hongxia Hu's profile →
Citations per field
00.5×1.5×
Hongxia Hu · 1×
Citations per year

Countries citing papers authored by Maimon E. Hubbi

Since Specialization
Citations

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

Fields of papers citing papers by Maimon E. Hubbi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maimon E. Hubbi. 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 Maimon E. Hubbi. The network helps show where Maimon E. Hubbi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015234
2 2013212
3 2012198
4 2013135
5 2007133
6 2020108
7 2013102
8 201497
9 201179
10 201259
11 200756
12 201248
13 201536
14 201526
15 202221
16 202220
17 20158
18 20202
19 20241
20 20131

About Maimon E. Hubbi

Maimon E. Hubbi is a scholar working on Cancer Research, Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (14 papers), Mitochondrial Function and Pathology (6 papers), Autophagy in Disease and Therapy (5 papers), Signaling Pathways in Disease (2 papers), Epigenetics and DNA Methylation (2 papers), RNA modifications and cancer (2 papers), Cancer-related Molecular Pathways (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Cancer Research (698 citations), Geriatrics and Gerontology (125 citations), Molecular Biology (845 citations), Cell Biology (175 citations) and Physiology (46 citations). Maimon E. Hubbi has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Gregg L. Semenza, Kshitiz Gupta, Daniele M. Gilkes, Hongxia Hu, Ishrat Ahmed, Andre Levchenko, Jin Hyen Baek, Carmen Chak‐Lui Wong, Weibo Luo and Karin R. McDonald. Their work appears in journals such as Journal of Biological Chemistry, Science Signaling, Molecular Cell, Proceedings of the National Academy of Sciences and Integrative 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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