D Bitter-Suermann

6.5k citations
162 papers · 5.4k indexed · h-index 41

D Bitter-Suermann

157 papers receiving 5.0k citations

Peers

D Bitter-Suermann
Comparison fields: 5 of 129
  • Immunology 1.9k
  • Microbiology 540
  • Endocrinology 353
  • Developmental Neuroscience 255
  • Hematology 577
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Paul Conlon United States
Eugenio Scanziani Italy
Alan D. Schreiber United States
Sandrine Bourdoulous France
M. Rabinovitch United States
Robin Thorpe United Kingdom
Marta Muzio Italy
Karin Moelling Germany
Chris Haslett United Kingdom
Christopher J. Froelich United States
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Citations per field
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Citations per year

Countries citing papers authored by D Bitter-Suermann

Since Specialization
Citations

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

Fields of papers citing papers by D Bitter-Suermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D Bitter-Suermann. 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 D Bitter-Suermann. The network helps show where D Bitter-Suermann may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199358
2 199220
3 199228
4 199173
5 199179
6 199116
7 199013
8 19908
9 199017
10 198914
11 198931
12 19888
13 19876
14 19816
15
Insoluble polyanions as activators of both pathways of complement.
197715
16
Dual function of insoluble polyanions. Formation of C1 and C42 sites in addition to activation of the alternative pathway of complement.
19771
17
Activation of factor B and C3 in guinea pig serum by zymosan or by activated properdin depends on the presence of factor D.
19771
18 19764
19 197497
20 197475

About D Bitter-Suermann

D Bitter-Suermann is a scholar working on Immunology, Hematology and Endocrinology, having authored 162 papers that have together received 5.4k indexed citations. Recurring topics across this work include Complement system in diseases (58 papers), Monoclonal and Polyclonal Antibodies Research (28 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (20 papers), Blood groups and transfusion (20 papers), Glycosylation and Glycoproteins Research (16 papers), Blood Coagulation and Thrombosis Mechanisms (13 papers), Bacterial Infections and Vaccines (12 papers) and Escherichia coli research studies (11 papers). The work is most often cited by research in Immunology (1.9k citations), Microbiology (540 citations) and Endocrinology (353 citations). D Bitter-Suermann has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include U. Hadding, G J Boulnois, Matthias Frosch, Reinhard Bürger, Jukka Finne, Christo Goridis, Melitta Schachner, K. N. Timmis, H. U. Schorlemmer and Volker Brade. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, Journal of Bacteriology, Journal of Clinical Microbiology and Molecular Immunology.

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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