Erik Martı́nez-Hackert

2.8k citations
35 papers · 2.1k indexed · h-index 21
    • TGF-β signaling in diseases 13
    • RNA and protein synthesis mechanisms 4
    • Genomics and Chromatin Dynamics 3
    • Heat shock proteins research 3
  • Genetics top 5%
    • Bacterial Genetics and Biotechnology 4
  • Rheumatology top 10%
    • Heterotopic Ossification and Related Conditions 3
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 3

Erik Martı́nez-Hackert

35 papers receiving 2.0k citations

Peers

Erik Martı́nez-Hackert
Comparison fields: 5 of 119
  • Molecular Biology 1.4k
  • Endocrinology 83
  • Genetics 447
  • Rheumatology 163
  • Immunology 215
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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-authorship network

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
#Work
1 20226
2 20214
3 202038
4 202061
5 201944
6 20184
7 201783
8 201711
9 201693
10 201618
11 201691
12 201534
13 20117
14 2010113
15 200839
16 199947
17 199510
18 199556
19 19939
20 1993186

About Erik Martı́nez-Hackert

Erik Martı́nez-Hackert is a scholar working on Virology, Molecular Biology, Immunology, Rheumatology and Oncology, having authored 35 papers that have together received 2.1k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (13 papers), RNA and protein synthesis mechanisms (4 papers), Bacterial Genetics and Biotechnology (4 papers), Heterotopic Ossification and Related Conditions (3 papers), Genomics and Chromatin Dynamics (3 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (3 papers) and Heat shock proteins research (3 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Endocrinology (83 citations), Genetics (447 citations), Rheumatology (163 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, Bjarne Rasmussen, Toril Holien, Gregory A. Petsko, Jeffry B. Stock, Dagmar Ringe 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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