Klaus J. Erb

1.5k total citations
30 papers, 1.2k citations indexed

About

Klaus J. Erb is a scholar working on Immunology, Physiology and Immunology and Allergy. According to data from OpenAlex, Klaus J. Erb has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 11 papers in Physiology and 10 papers in Immunology and Allergy. Recurrent topics in Klaus J. Erb's work include Asthma and respiratory diseases (11 papers), Allergic Rhinitis and Sensitization (7 papers) and Research on Leishmaniasis Studies (6 papers). Klaus J. Erb is often cited by papers focused on Asthma and respiratory diseases (11 papers), Allergic Rhinitis and Sensitization (7 papers) and Research on Leishmaniasis Studies (6 papers). Klaus J. Erb collaborates with scholars based in Germany, United States and New Zealand. Klaus J. Erb's co-authors include Graham Le Gros, Heidrun Moll, John W. Holloway, M. Epstein, Berislav Bošnjak, Gisela Wohlleben, Udo Herz, Harald Renz, Christine Blank and Paige Lacy and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Current Biology.

In The Last Decade

Klaus J. Erb

30 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Klaus J. Erb Germany 19 564 508 216 173 147 30 1.2k
Karen L. Denzler United States 12 471 0.8× 502 1.0× 131 0.6× 289 1.7× 275 1.9× 19 1.3k
T. Venaille Australia 14 610 1.1× 507 1.0× 294 1.4× 114 0.7× 96 0.7× 21 1.3k
Ponpan Matangkasombut Thailand 18 761 1.3× 308 0.6× 105 0.5× 103 0.6× 140 1.0× 43 1.3k
Heather MacLeod United States 11 459 0.8× 380 0.7× 169 0.8× 110 0.6× 117 0.8× 12 929
Mahasti Sahihi de Macedo Brazil 18 351 0.6× 290 0.6× 198 0.9× 55 0.3× 112 0.8× 43 960
Anthony A. Horner United States 24 1.0k 1.8× 582 1.1× 453 2.1× 161 0.9× 396 2.7× 48 1.8k
Li‐Yin Hung United States 15 571 1.0× 239 0.5× 51 0.2× 142 0.8× 225 1.5× 32 1.2k
Görkem Yaman Türkiye 8 352 0.6× 324 0.6× 358 1.7× 139 0.8× 95 0.6× 27 997
Emma K. Persson Sweden 14 1.4k 2.5× 232 0.5× 169 0.8× 180 1.0× 355 2.4× 18 2.0k
M Roux Argentina 16 597 1.1× 99 0.2× 65 0.3× 164 0.9× 182 1.2× 47 1.3k

Countries citing papers authored by Klaus J. Erb

Since Specialization
Citations

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

Fields of papers citing papers by Klaus J. Erb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Klaus J. Erb. 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 Klaus J. Erb. The network helps show where Klaus J. Erb may publish in the future.

Co-authorship network of co-authors of Klaus J. Erb

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

All Works

20 of 20 papers shown
1.
Strobel, Benjamin, Birgit Stierstorfer, Detlef Stiller, et al.. (2015). Modeling Pulmonary Disease Pathways Using Recombinant Adeno-Associated Virus 6.2. American Journal of Respiratory Cell and Molecular Biology. 53(3). 291–302. 28 indexed citations
2.
Kapur, Vishal, et al.. (2013). Prerequisites for the pharmaceutical industry to develop and commercialise helminths and helminth-derived product therapy. International Journal for Parasitology. 43(3-4). 319–325. 24 indexed citations
3.
Bickert, Thomas, Claudia M. Trujillo‐Vargas, Gisela Wohlleben, et al.. (2009). Probiotic <i>Escherichia coli </i>Nissle 1917 Suppresses Allergen-Induced Th2 Responses in the Airways. International Archives of Allergy and Immunology. 149(3). 219–230. 38 indexed citations
4.
Debes, Gudrun F., Martin E. Dahl, Azita J. Mahiny, et al.. (2006). Chemotactic Responses of IL-4-, IL-10-, and IFN-γ-Producing CD4+ T Cells Depend on Tissue Origin and Microbial Stimulus. The Journal of Immunology. 176(1). 557–566. 31 indexed citations
5.
Gogishvili, Tea, Christian Hahn, Klaus J. Erb, et al.. (2006). Inhibition of IL-4/IL-13 Does Not Enhance the Efficacy of Allergen Immunotherapy in Murine Allergic Airway Inflammation. International Archives of Allergy and Immunology. 142(2). 165–174. 3 indexed citations
6.
Wohlleben, Gisela & Klaus J. Erb. (2006). Immune Stimulatory Strategies for the Prevention and Treatment of Asthma. Current Pharmaceutical Design. 12(25). 3281–3292. 16 indexed citations
7.
8.
Bonhagen, Kerstin, Gudrun F. Debes, Hans‐Willi Mittrücker, et al.. (2004). Expression of selectin ligands on murine effector and IL‐10‐producing CD4+ T cells from non‐infected and infected tissues. European Journal of Immunology. 34(11). 3070–3081. 30 indexed citations
9.
Hahn, Christian, Martin Teufel, Udo Herz, et al.. (2003). Inhibition of the IL-4/IL-13 receptor system prevents allergic sensitization without affecting established allergy in a mouse model for allergic asthma. Journal of Allergy and Clinical Immunology. 111(6). 1361–1369. 50 indexed citations
10.
Wohlleben, Gisela & Klaus J. Erb. (2002). Inflammation versus Immunoregulation: What Is the Key to the Development of an Effective Antiallergy Vaccine?. Pathobiology. 70(5). 270–276. 2 indexed citations
11.
12.
Rüger, Beate M., et al.. (2000). Interleukin-4 transgenic mice develop glomerulosclerosis independent of immunoglobulin deposition. European Journal of Immunology. 30(9). 2698–2703. 33 indexed citations
13.
Erb, Klaus J., Sam Hou, Lisa Hyland, et al.. (1999). Constitutive expression of interleukin 4 in vivo does not lead to the development of T helper 2 type CD8+ T cells secreting interleukin 4 or interleukin 5. Immunology Letters. 68(2-3). 383–390. 3 indexed citations
14.
15.
Erb, Klaus J., et al.. (1998). Infection of Mice with Mycobacterium bovis–Bacillus Calmette-Guérin (BCG) Suppresses Allergen-induced Airway Eosinophilia. The Journal of Experimental Medicine. 187(4). 561–569. 336 indexed citations
16.
Erb, Klaus J., Joanna R. Kirman, Brett Delahunt, Wangxue Chen, & Graham Le Gros. (1998). IL‐4, IL‐5 and IL‐10 are not required for the control of M. bovis‐BCG infection in mice. Immunology and Cell Biology. 76(1). 41–46. 38 indexed citations
17.
Erb, Klaus J., John W. Holloway, & Graham Le Gros. (1996). Innate immunity: Mast cells in the front line. Current Biology. 6(8). 941–942. 11 indexed citations
18.
Erb, Klaus J. & Graham Le Gros. (1996). The role of Th2 type CD4+ T cells and Th2 type CD8+ T cells in asthma. Immunology and Cell Biology. 74(2). 206–208. 40 indexed citations
19.
Erb, Klaus J., Christine Blank, & Heidrun Moll. (1996). Susceptibility to Leishmania major in IL‐4 transgenic mice is not correlated with the lack of a Th1 immune response. Immunology and Cell Biology. 74(3). 239–244. 18 indexed citations
20.
Erb, Klaus J., Monika Vogel, Wilma Wagner, & Werner Goebel. (1987). Alkaline phosphatase which lacks its own signal sequence becomes enzymatically active when fused to N-terminal sequences of Escherichia coli haemolysin (HlyA). Molecular and General Genetics MGG. 208(1-2). 88–93. 25 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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