Martin Schwickart

1.9k citations
22 papers · 1.4k indexed · 1 hit paper · h-index 11
Topics
Monoclonal and Polyclonal Antibodies Research (7 papers)Hemoglobinopathies and Related Disorders (4 papers)Acute Myeloid Leukemia Research (3 papers)

In The Last Decade

Martin Schwickart

22 papers receiving 1.4k citations

Hit Papers

Deubiquitinase USP9X stabilizes MCL1 and promotes tumour ...20092026201420202009100200300400500

Peers

Martin Schwickart
Comparison fields: 5 of 80
  • Molecular Biology 1.2k
  • Cell Biology 420
  • Oncology 365
  • Epidemiology 217
  • Immunology 169
Replace Iwona Szymkiewicz with:
Iwona Szymkiewicz Sweden
Narendra Thapa United States
Dale S. Haines United States
Lingyan Jin China
Suyong Choi United States
Willem den Besten United States
Frauke Schimmöller United States
Robert J. Ingham Canada
Mala Mani United States
Paul J. Mintz United States
Martin Schwickart relative to Iwona Szymkiewicz Sweden Iwona Szymkiewicz's profile →
Citations per field
00.5×3.8×
Iwona Szymkiewicz · 1×
Citations per year

Countries citing papers authored by Martin Schwickart

Since Specialization
Citations

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

Fields of papers citing papers by Martin Schwickart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Schwickart

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Schwickart. A scholar is included among the top collaborators of Martin Schwickart based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Schwickart. Martin Schwickart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 13
2 8
3 2
4 2
5 2
6 8
7 36
8 2
9 8
10 36
11 7
12 4
13 24
14 9
15 36
16 47
17
Deubiquitinase USP9X stabilizes MCL1 and promotes tumour cell survivalbreakdown →
510
18 146
19 80
20 370

About Martin Schwickart

Martin Schwickart is a scholar working on Hematology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Hemoglobinopathies and Related Disorders (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Cell Biology (420 citations), Molecular Biology (1.2k citations) and Oncology (365 citations). Martin Schwickart has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Rayappa R. Gali, Daniel Finley, Britta Müller, Matthew T. Feng, David Leggett, Gunnar Dittmar, Suzanne Elsasser, Christopher N. Larsen, Jinfeng Liu and Xiaodong Huang. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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