Norbert Grobe

9 papers receiving 113 citations

Peers

Norbert Grobe
Comparison fields: 5 of 21
  • Rheumatology 48
  • Pathology and Forensic Medicine 55
  • Genetics 22
  • Immunology 39
  • Nephrology 11
Replace D. Suchý with:
D. Suchý Czechia
Suguru Honda Japan
Lourdes P. Sejismundo United States
Paolo Airó Italy
J. Séguier France
Marta Saracco Italy
Angela Gueli Italy
Asta Linauskas Denmark
Francesca Regola Italy
Jean-Pierre Marolleau France
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Citations per field
00.5×2.8×
D. Suchý · 1×
Citations per year

Countries citing papers authored by Norbert Grobe

Since Specialization
Citations

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

Fields of papers citing papers by Norbert Grobe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201441
2 200638
3 200118
4 20217
5 20155
6 20083
7
Autoantibodies to prothrombin and phosphatidylserine/prothrombin-complexes: do they contribute to the serodiagnosis of primary and secondary anti-phospholipid syndrome?
20043
8 20052
9
Reactivity profiles of autoantibodies to different phospholipids and the phospholipid-binding protein beta2-glycoprotein I in patients with clinical symptoms related to thromboembolic and/or vasculopathic events with or without connective tissue diseases.
20031

About Norbert Grobe

Norbert Grobe is a scholar working on Rheumatology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Genetics and Oncology, having authored 9 papers that have together received 118 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), T-cell and B-cell Immunology (2 papers), CAR-T cell therapy research (2 papers), Pituitary Gland Disorders and Treatments (1 paper) and Blood Coagulation and Thrombosis Mechanisms (1 paper). The work is most often cited by research in Rheumatology (48 citations), Pathology and Forensic Medicine (55 citations), Genetics (22 citations), Immunology (39 citations) and Nephrology (11 citations). Norbert Grobe has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include E Werle, A Trabandt, Georg Maschmeyer, Gottfried Dölken, Thomas Fischer, Dietger Niederwieser, Herbert G. Sayer, Nadežda Basara, Carsten Hirt and Gerhard Behre. Their work appears in journals such as Annals of Hematology, Journal of Cancer Research and Clinical Oncology, Lupus, Journal of Autoimmunity and DMW - Deutsche Medizinische Wochenschrift.

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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