Inge Waase

443 total citations
9 papers, 380 citations indexed

About

Inge Waase is a scholar working on Immunology, Genetics and Epidemiology. According to data from OpenAlex, Inge Waase has authored 9 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Genetics and 2 papers in Epidemiology. Recurrent topics in Inge Waase's work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Diabetes and associated disorders (2 papers). Inge Waase is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Diabetes and associated disorders (2 papers). Inge Waase collaborates with scholars based in Germany and United States. Inge Waase's co-authors include Jörg J. Goronzy, Paula J. Carlson, Martin Krönke, Klaus Pfizenmaier, Barbara M. Bröker, M. Dietrich, Bernhard Fleischer, Stefan Beissert, M. Bergholz and G. Lepsien and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and The Journal of Infectious Diseases.

In The Last Decade

Inge Waase

9 papers receiving 370 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Inge Waase Germany 8 242 67 65 57 53 9 380
J.M.R. Saint-Remy Belgium 10 193 0.8× 37 0.6× 47 0.7× 38 0.7× 23 0.4× 15 440
David A. Mutch Australia 6 270 1.1× 45 0.7× 29 0.4× 88 1.5× 16 0.3× 6 424
M. M. Tongio France 15 425 1.8× 37 0.6× 64 1.0× 74 1.3× 51 1.0× 39 617
J Granados Mexico 12 214 0.9× 53 0.8× 75 1.2× 28 0.5× 30 0.6× 23 386
Flemming Larsen Denmark 4 484 2.0× 61 0.9× 80 1.2× 88 1.5× 12 0.2× 7 589
Gwenoline Borhis France 9 330 1.4× 24 0.4× 51 0.8× 35 0.6× 53 1.0× 14 426
Anne Dormoy France 11 383 1.6× 38 0.6× 63 1.0× 53 0.9× 59 1.1× 30 547
Joanne Banyer Australia 10 210 0.9× 29 0.4× 91 1.4× 72 1.3× 83 1.6× 13 414
John W. Chamberlain Canada 12 209 0.9× 97 1.4× 27 0.4× 127 2.2× 56 1.1× 31 516
Stany Depraetere Belgium 9 178 0.7× 12 0.2× 87 1.3× 77 1.4× 36 0.7× 13 404

Countries citing papers authored by Inge Waase

Since Specialization
Citations

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

Fields of papers citing papers by Inge Waase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inge Waase

This figure shows the co-authorship network connecting the top 25 collaborators of Inge Waase. A scholar is included among the top collaborators of Inge Waase 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 Inge Waase. Inge Waase is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Chiwakata, Collins Batsirai, et al.. (2001). Procalcitonin as a Parameter of Disease Severity and Risk of Mortality in Patients withPlasmodium falciparumMalaria. The Journal of Infectious Diseases. 183(7). 1161–1164. 60 indexed citations
2.
Waase, Inge, et al.. (2000). CD4 αβ T Lymphocytes Express High Levels of the T Lymphocyte Antigen CTLA‐4 (CD152) in Acute Malaria. The Journal of Infectious Diseases. 182(1). 367–370. 35 indexed citations
3.
Steiner, Kevin, Inge Waase, Thomas Rau, et al.. (1999). Enhanced expression of CTLA-4 (CD152) on CD4+ T cells in HIV infection. Clinical & Experimental Immunology. 115(3). 451–457. 53 indexed citations
4.
Waase, Inge, et al.. (1996). Oligoclonal T cell proliferation in patients with rheumatoid arthritis and their unaffected siblings. Arthritis & Rheumatism. 39(6). 904–913. 118 indexed citations
5.
Waase, Inge, et al.. (1996). T Cell Receptor Germline Gene Segments and HLA Haplotypes Control the Length of the CDR3 of Human T Cell Receptor β Chains. Cellular Immunology. 168(2). 235–242. 9 indexed citations
6.
Waase, Inge, M. Bergholz, Stefan Beissert, et al.. (1992). Heterogeneity of tumour necrosis factor production in renal cell carcinoma. European Journal of Cancer. 28(10). 1660–1664. 12 indexed citations
7.
Beissert, Stefan, M. Bergholz, Inge Waase, et al.. (1989). Regulation of tumor necrosis factor gene expression in colorectal adenocarcinoma: in vivo analysis by in situ hybridization.. Proceedings of the National Academy of Sciences. 86(13). 5064–5068. 74 indexed citations
8.
Goebels, Norbert, Inge Waase, Klaus Pfizenmaier, & Martin Krönke. (1988). IL-2 production in human T lymphotropic virus I-infected leukemic T lymphocytes analyzed by in situ hybridization.. The Journal of Immunology. 141(4). 1231–1235. 16 indexed citations
9.
Goronzy, Jörg J., Cornelia M. Weyand, & Inge Waase. (1985). T cell subpopulations in inflammatory bowel disease: evidence for a defective induction of T8+ suppressor/cytotoxic T lymphocytes.. PubMed. 61(3). 593–600. 3 indexed citations

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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