F. Klatter

801 total citations
18 papers, 677 citations indexed

About

F. Klatter is a scholar working on Immunology, Genetics and Surgery. According to data from OpenAlex, F. Klatter has authored 18 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Genetics and 5 papers in Surgery. Recurrent topics in F. Klatter's work include T-cell and B-cell Immunology (6 papers), Diabetes and associated disorders (5 papers) and Immune Cell Function and Interaction (4 papers). F. Klatter is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Diabetes and associated disorders (5 papers) and Immune Cell Function and Interaction (4 papers). F. Klatter collaborates with scholars based in Netherlands and Italy. F. Klatter's co-authors include Jan Rozing, Nicolaas A. Bos, Sylvia Brugman, A. C. M. Wildeboer-Veloo, Jeroen Visser, Hermie J. M. Harmsen, Peter J.C. van Breda Vriesman, A. M. Duijvestijn, Harry van Goor and Gerard D. Majoor and has published in prestigious journals such as The Journal of Immunology, Diabetologia and Biochemical Society Transactions.

In The Last Decade

F. Klatter

18 papers receiving 660 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Klatter Netherlands 9 328 177 165 115 111 18 677
Philip E. Dubé United States 15 290 0.9× 189 1.1× 250 1.5× 174 1.5× 127 1.1× 22 1.0k
Johanne Le Beyec France 20 294 0.9× 177 1.0× 354 2.1× 94 0.8× 276 2.5× 41 902
Lance Kates France 7 328 1.0× 85 0.5× 201 1.2× 140 1.2× 159 1.4× 7 669
Marcia F. McInerney United States 17 179 0.5× 348 2.0× 186 1.1× 160 1.4× 103 0.9× 42 870
Jose Zavala‐Solorio United States 13 465 1.4× 127 0.7× 279 1.7× 156 1.4× 185 1.7× 18 1.0k
Shida Tavalali Germany 8 484 1.5× 102 0.6× 138 0.8× 19 0.2× 62 0.6× 8 875
V. E. Eysselein United States 16 194 0.6× 147 0.8× 408 2.5× 96 0.8× 56 0.5× 37 981
Hanna Schierbeck Sweden 11 335 1.0× 217 1.2× 171 1.0× 122 1.1× 58 0.5× 16 1.2k
Zsuzsanna Sandor United States 13 188 0.6× 117 0.7× 140 0.8× 21 0.2× 44 0.4× 26 528
Toshiaki Teratani Japan 18 354 1.1× 95 0.5× 159 1.0× 130 1.1× 133 1.2× 37 1.1k

Countries citing papers authored by F. Klatter

Since Specialization
Citations

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

Fields of papers citing papers by F. Klatter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Klatter

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

All Works

18 of 18 papers shown
1.
Brugman, Sylvia, F. Klatter, Jeroen Visser, et al.. (2006). Antibiotic treatment partially protects against type 1 diabetes in the Bio-Breeding diabetes-prone rat. Is the gut flora involved in the development of type 1 diabetes?. Diabetologia. 49(9). 2105–2108. 262 indexed citations
2.
Brugman, Sylvia, F. Klatter, J.H.M. Visser, et al.. (2004). Neonatal oral administration of DiaPep277, combined with hydrolysed casein diet, protects against Type 1 diabetes in BB-DP rats. An experimental study. Diabetologia. 47(7). 1331–1333. 24 indexed citations
3.
4.
Visser, J.H.M., et al.. (2003). The diabetes prone BB rat model of IDDM shows duration of breastfeeding to influence Type 1 diabetes development later in life. Diabetologia. 46(12). 1711–1713. 6 indexed citations
5.
Hillebrands, Jan‐Luuk, F. Klatter, C. A. Bruggeman, & Jan Rozing. (2001). Development of transplant arteriosclerosis after allogeneic aorta transplantation in the rat: influence of recipient genotype. Transplantation Proceedings. 33(1-2). 324–325. 3 indexed citations
6.
Gottenbos, Bart, et al.. (2001). Late Hematogenous Infection of Subcutaneous Implants in Rats. Clinical and Diagnostic Laboratory Immunology. 8(5). 980–983. 8 indexed citations
7.
Hillebrands, Jan‐Luuk, et al.. (1999). An alternative model to study intrathymic tolerance induction: the neonatal heart-in-ear transplantation model in the rat. Transplantation Proceedings. 31(3). 1563–1566. 2 indexed citations
8.
Hylkema, Machteld N., Jennie M. Pater, F. Klatter, et al.. (1997). Effect of variable doses of antilymphocyte serum on T cell depletion and cardiac allograft survival. Transplantation Proceedings. 29(3). 1719–1720. 1 indexed citations
9.
Groen, Harry J.M., F. Klatter, Nicolaas H. C. Brons, et al.. (1996). Abnormal thymocyte subset distribution and differential reduction of CD4+ and CD8+ T cell subsets during peripheral maturation in diabetes-prone BioBreeding rats. The Journal of Immunology. 156(3). 1269–1275. 28 indexed citations
10.
Groen, Harry J.M., Chris P. M. Broeren, F. Klatter, et al.. (1996). Susceptibility to clinically manifest cyclosporine A (CsA)-induced autoimmune disease is associated with interferon-gamma (IFN-γ)-producing CD45RC+RT6− T helper cells. Clinical & Experimental Immunology. 105(3). 486–496. 17 indexed citations
11.
Fritschy, W.M., Paul de Vos, Herman Groen, et al.. (1994). The capsular overgrowth on microencapsulated pancreatic islet grafts in streptozotocin and autoimmune diabetic rats. Transplant International. 7(4). 264–271. 81 indexed citations
12.
Kampinga, J, F. Klatter, H. Bartels, et al.. (1994). Intrathymic tolerance induction is based on suppressor cells.. PubMed. 26(2). 725–6. 3 indexed citations
13.
Groen, Harry J.M., et al.. (1993). Composition of rat CD4+ resting memory T-cell pool is influenced by major histocompatibility complex.. University of Groningen research database (University of Groningen / Centre for Information Technology). 25(5). 2782–3. 6 indexed citations
14.
Kampinga, J, F. Klatter, H. Bartels, et al.. (1993). Allotolerance induced by intrathymic application of alloantigen: introduction of a new and clinically relevant procedure allowing heart graft survival in high-responder rats.. PubMed. 25(5). 2850–1. 2 indexed citations
15.
Kampinga, J, Harry J.M. Groen, F. Klatter, et al.. (1992). Post-thymic T cell development in rats: an update. Biochemical Society Transactions. 20(1). 191–197. 16 indexed citations
16.
Duijvestijn, A. M., et al.. (1992). Antibodies defining rat endothelial cells: RECA-1, a pan-endothelial cell-specific monoclonal antibody.. PubMed. 66(4). 459–66. 200 indexed citations
17.
Duijvestijn, A. M., et al.. (1991). Differential Kinetics of Various Subsets of Thymic Bone Marrow‐Derived Stromal Cells in Rat Chimeras. Scandinavian Journal of Immunology. 33(4). 473–484. 9 indexed citations
18.
Kampinga, J, et al.. (1990). Kinetics of thymocyte regeneration in adult adriamycin treated rats: evidence for an exclusive role of bone marrow derived cells.. PubMed. 15(3). 131–46. 2 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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