M Schmidt
Impact in
- Hematology top 5%
- Blood Coagulation and Thrombosis Mechanisms
- Hemophilia Treatment and Research
- Platelet Disorders and Treatments
Papers in
-
- RNA regulation and disease 5
- Kruppel-like factors research 2
- Genetics 13
- Genetics and Neurodevelopmental Disorders 9
- Genetic Syndromes and Imprinting 4
- Genomics and Rare Diseases 4
- Co-authors
- Eric M. Morrow (16 shared papers)Qing Ouyang (8 shared papers)Sofia B. Lizarraga (4 shared papers)Jingyi Gong (2 shared papers)W. Prohaska (4 shared papers)K Kleesiek (4 shared papers)Julie A. Kauer (1 shared paper)Ece D. Gamsiz Uzun (5 shared papers)
- Journals
- Blood (3 papers)Stem Cell Research (2 papers)eNeuro (2 papers)Human Molecular Genetics (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesGermanyTaiwan
In The Last Decade
M Schmidt
26 papers receiving 547 citations
Peers
Comparison fields: 5 of 71
- Hematology 182
- Internal Medicine 28
- Genetics 70
- Cell Biology 93
- Genetics 149
Countries citing papers authored by M Schmidt
This map shows the geographic impact of M Schmidt'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 M Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Schmidt more than expected).
Fields of papers citing papers by M Schmidt
This network shows the impact of papers produced by M Schmidt. 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 M Schmidt. The network helps show where M Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside M Schmidt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 105 | |
| 2 | 2014 | 66 | |
| 3 | 1998 | 60 | |
| 4 | 1994 | 46 | |
| 5 | 2011 | 34 | |
| 6 | 1998 | 27 | |
| 7 | Acquired protein C dysfunction but not decreased activity of thrombomodulin is a possible marker of thrombophilia in patients with lupus anticoagulant. | 1995 | 24 |
| 8 | 2021 | 21 | |
| 9 | 2014 | 21 | |
| 10 | 2021 | 20 | |
| 11 | 1998 | 20 | |
| 12 | 2017 | 19 | |
| 13 | 1995 | 19 | |
| 14 | 2019 | 13 | |
| 15 | 2022 | 12 | |
| 16 | 2023 | 10 | |
| 17 | 2019 | 8 | |
| 18 | 2019 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2019 | 5 |
About M Schmidt
M Schmidt is a scholar working on Molecular Biology, Genetics, Hematology, Cell Biology and Surgery, having authored 28 papers that have together received 559 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (9 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers), Hemophilia Treatment and Research (5 papers), RNA regulation and disease (5 papers), Cellular transport and secretion (5 papers), Genetic Syndromes and Imprinting (4 papers), Genomics and Rare Diseases (4 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Hematology (182 citations), Internal Medicine (28 citations), Genetics (70 citations), Cell Biology (93 citations) and Genetics (149 citations). M Schmidt has collaborated with scholars based in United States, Germany and Taiwan. Frequent co-authors include Eric M. Morrow, Qing Ouyang, Sofia B. Lizarraga, Jingyi Gong, W. Prohaska, K Kleesiek, Julie A. Kauer, Ece D. Gamsiz Uzun, Matthew F. Pescosolido and Thomas Brinkmann. Their work appears in journals such as Blood, Stem Cell Research, eNeuro, Human Molecular Genetics and BMC Bioinformatics.
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.