Erik Martı́nez-Hackert

2.8k citations
35 papers · 2.1k · h-index 21

Impact in

    • TGF-β signaling in diseases
    • RNA and protein synthesis mechanisms
    • Protein Structure and Dynamics
    • Muscle Physiology and Disorders
    • Pluripotent Stem Cells Research
  • Genetics top 5%
    • Bacterial Genetics and Biotechnology

Papers in

    • TGF-β signaling in diseases 14
    • RNA and protein synthesis mechanisms 4
    • Heat shock proteins research 3
    • Developmental Biology and Gene Regulation 3

Erik Martı́nez-Hackert

35 papers receiving 2.1k citations

Peers

Erik Martı́nez-Hackert
Comparison fields: 5 of 121
  • Molecular Biology 1.4k
  • Genetics 444
  • Endocrinology 82
  • Rheumatology 149
  • Immunology 215
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Yanbao Yu United States
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Michael Hunter United Kingdom
K. Maskos Germany
Kenji Yamato Japan
Teresa Cabezón Denmark
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Jérôme Solassol France
Duane C. Hassane United States
Santosh Renuse United States
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Citations per field
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Citations per year

Countries citing papers authored by Erik Martı́nez-Hackert

Since Specialization
Citations

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

Fields of papers citing papers by Erik Martı́nez-Hackert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik Martı́nez-Hackert. 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 Erik Martı́nez-Hackert. The network helps show where Erik Martı́nez-Hackert may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997232
2 1997205
3 2016192
4 1993186
5 2012145
6 2009122
7 2010115
8 201694
9 201694
10 201786
11 202062
12 199556
13 200651
14 202049
15 200347
16 199947
17 201944
18 200839
19 202038
20 201535

About Erik Martı́nez-Hackert

Erik Martı́nez-Hackert is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Cell Biology, having authored 35 papers that have together received 2.1k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (14 papers), Bacterial Genetics and Biotechnology (5 papers), RNA and protein synthesis mechanisms (4 papers), Heat shock proteins research (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Heterotopic Ossification and Related Conditions (3 papers) and Developmental Biology and Gene Regulation (3 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Genetics (444 citations), Endocrinology (82 citations), Rheumatology (149 citations) and Immunology (215 citations). Erik Martı́nez-Hackert has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Ann Stock, Senem Aykul, Wayne A. Hendrickson, Ann H. West, Gregory A. Petsko, Dagmar Ringe, Bjarne Rasmussen, Jeffry B. Stock, Toril Holien and Yuri Sykulev. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, Nature Communications, Protein Science and Biochemistry.

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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