Sonja Schiffer

592 citations
12 papers · 478 · h-index 11

Impact in

    • Cell Adhesion Molecules Research
  • Hematology top 10%
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

Sonja Schiffer

12 papers receiving 473 citations

Peers

Sonja Schiffer
Comparison fields: 5 of 59
  • Immunology and Allergy 181
  • Hematology 100
  • Immunology 171
  • Genetics 60
  • Radiology, Nuclear Medicine and Imaging 117
Replace M C Janssen with:
M C Janssen Netherlands
Maxine Melchior United States
U Jäger Germany
Dale Yuzuki United States
Periasamy Selvaraj United States
John B. Beard United States
Ilaria Cattarossi Italy
Karen Crain United States
S. Yasue Japan
Caroline E. Zuber France
Sonja Schiffer relative to M C Janssen Netherlands M C Janssen's profile →
Citations per field
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M C Janssen · 1×
Citations per year

Countries citing papers authored by Sonja Schiffer

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Schiffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1991213
2 201959
3 202034
4 201325
5 201224
6 201323
7 200322
8 201422
9 201321
10 202120
11 201310
12 20235

About Sonja Schiffer

Sonja Schiffer is a scholar working on Molecular Biology, Immunology, Genetics, Cardiology and Cardiovascular Medicine and Internal Medicine, having authored 12 papers that have together received 478 indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (4 papers), Cell death mechanisms and regulation (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Virus-based gene therapy research (2 papers), Acute Myeloid Leukemia Research (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Immunology and Allergy (181 citations), Hematology (100 citations), Immunology (171 citations), Genetics (60 citations) and Radiology, Nuclear Medicine and Imaging (117 citations). Sonja Schiffer has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include Roy R. Lobb, Martin E. Hemler, Rafael Pulido, Mariano J. Elices, Miguel R. Campanero, L Osborn, Angeles Garcı́a-Pardo, Francisco Sánchez‐Madrid, Stefan Barth and Theo Thepen. Their work appears in journals such as Antibodies, npj Digital Medicine, Cancer Letters, Blood Cancer Journal and Journal of Biological Chemistry.

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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