Dimitra Micha

3.3k citations
73 papers · 1.5k · h-index 22

Impact in

  • Genetics top 5%
    • Connective tissue disorders research
    • Genetic and Kidney Cyst Diseases
    • Heterotopic Ossification and Related Conditions
    • Bone and Dental Protein Studies

Papers in

    • Connective tissue disorders research 37
    • Bone and Dental Protein Studies 14
    • Heterotopic Ossification and Related Conditions 12

Dimitra Micha

68 papers receiving 1.5k citations

Peers

Dimitra Micha
Comparison fields: 5 of 107
  • Genetics 633
  • Rheumatology 273
  • Pulmonary and Respiratory Medicine 555
  • Nephrology 91
  • Cancer Research 128
Replace Lior Zilberberg with:
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Mohamad Azhar United States
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Lut Van Laer Belgium
Julia Asp Sweden
Katrin Palumbo‐Zerr Germany
Trayana Kireva Germany
Cédric Ghevaert United Kingdom
Olivier Borel France
Gabrielle Curinga United States
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Citations per field
00.5×2.9×
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Citations per year

Countries citing papers authored by Dimitra Micha

Since Specialization
Citations

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

Fields of papers citing papers by Dimitra Micha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021175
2 2012137
3 2015122
4 2016102
5 201561
6 200551
7 201148
8 202147
9 201646
10 201943
11 201636
12 201831
13 201729
14 202028
15 201828
16 200828
17 201727
18 202125
19 201724
20 202123

About Dimitra Micha

Dimitra Micha is a scholar working on Genetics, Rheumatology, Pulmonary and Respiratory Medicine, Molecular Biology and Oncology, having authored 73 papers that have together received 1.5k indexed citations. Recurring topics across this work include Connective tissue disorders research (37 papers), Bone and Dental Protein Studies (14 papers), Heterotopic Ossification and Related Conditions (12 papers), Medical Imaging and Pathology Studies (9 papers), Aortic aneurysm repair treatments (9 papers), Aortic Disease and Treatment Approaches (9 papers), Bone health and treatments (8 papers) and Parathyroid Disorders and Treatments (7 papers). The work is most often cited by research in Genetics (633 citations), Rheumatology (273 citations), Pulmonary and Respiratory Medicine (555 citations), Nephrology (91 citations) and Cancer Research (128 citations). Dimitra Micha has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Gerard Pals, Vivian de Waard, Elisabeth M. W. Eekhoff, Nathalie Bravenboer, Carlie J.M. de Vries, Carmen Yap, Arnout Mieremet, Alessandra Maugeri, Natalija Bogunovic and Tamara Paff. Their work appears in journals such as Frontiers in Endocrinology, Bone, JBMR Plus, Calcified Tissue International and Scientific Reports.

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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