Erik Martı́nez-Hackert

2.9k citations
34 papers · 2.0k · h-index 20

Impact in

    • TGF-β signaling in diseases
    • RNA and protein synthesis mechanisms
    • Protein Structure and Dynamics
    • Muscle Physiology and Disorders
    • Pluripotent Stem Cells Research
    • Heat shock proteins research
  • Genetics top 10%
    • Bacterial Genetics and Biotechnology

Papers in

    • TGF-β signaling in diseases 14
    • Developmental Biology and Gene Regulation 3
    • Bone Metabolism and Diseases 3
    • Heat shock proteins research 3
    • Toxin Mechanisms and Immunotoxins 3
    • Immune Cell Function and Interaction 3

Erik Martı́nez-Hackert

34 papers receiving 2.0k citations

Peers

Erik Martı́nez-Hackert
Comparison fields: 5 of 122
  • Molecular Biology 1.3k
  • Genetics 347
  • Rheumatology 158
  • Immunology 200
  • Virology 44
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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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997205
2 2016200
3 1993196
4 2012155
5 2009130
6 2010123
7 2011114
8 2016108
9 2016104
10 201795
11 202069
12 199557
13 200654
14 202052
15 201951
16 200348
17 202042
18 200840
19 201534
20 200622

About Erik Martı́nez-Hackert

Erik Martı́nez-Hackert is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Virology, having authored 34 papers that have together received 2.0k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (14 papers), Bacterial Genetics and Biotechnology (5 papers), Toxin Mechanisms and Immunotoxins (3 papers), Heterotopic Ossification and Related Conditions (3 papers), Developmental Biology and Gene Regulation (3 papers), Bone Metabolism and Diseases (3 papers), Immune Cell Function and Interaction (3 papers) and Heat shock proteins research (3 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Genetics (347 citations), Rheumatology (158 citations), Immunology (200 citations) and Virology (44 citations). Erik Martı́nez-Hackert has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Senem Aykul, Ann Marie Stock, Wayne A. Hendrickson, Ann H. West, Toril Holien, Jeffry B. Stock, Dagmar Ringe, Bjarne F. Rasmussen, Gregory A. Petsko and Yuri K. Sykulev. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, Biochemistry, Protein Science and Nature Communications.

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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