Johannes Hampl

4.0k total citations · 1 hit paper
23 papers, 2.3k citations indexed

About

Johannes Hampl is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Johannes Hampl has authored 23 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Molecular Biology. Recurrent topics in Johannes Hampl's work include T-cell and B-cell Immunology (15 papers), Immune Cell Function and Interaction (14 papers) and Immunotherapy and Immune Responses (9 papers). Johannes Hampl is often cited by papers focused on T-cell and B-cell Immunology (15 papers), Immune Cell Function and Interaction (14 papers) and Immunotherapy and Immune Responses (9 papers). Johannes Hampl collaborates with scholars based in United States, Germany and Czechia. Johannes Hampl's co-authors include Mark M. Davis, Yueh‐hsiu Chien, J. Jay Boniface, Daniel S. Lyons, Ziv Reich, Bernhard Arden, Leslie J. Berg, W. H. Wright, David E. Cooper and Michael Hall and has published in prestigious journals such as Science, Immunity and The Journal of Immunology.

In The Last Decade

Johannes Hampl

23 papers receiving 2.3k citations

Hit Papers

LIGAND RECOGNITION BY αβ T CELL RECEPTORS 1998 2026 2007 2016 1998 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johannes Hampl United States 14 1.8k 443 404 392 146 23 2.3k
Yuri Sykulev United States 23 2.1k 1.1× 526 1.2× 553 1.4× 384 1.0× 105 0.7× 54 2.6k
Franco Calabi United Kingdom 26 1.3k 0.7× 688 1.6× 184 0.5× 318 0.8× 108 0.7× 42 2.2k
Takachika Azuma Japan 26 969 0.5× 1.2k 2.7× 217 0.5× 620 1.6× 60 0.4× 89 2.1k
M I Greene United States 18 688 0.4× 690 1.6× 217 0.5× 638 1.6× 87 0.6× 32 1.6k
Martynas Gavutis Germany 15 437 0.2× 491 1.1× 334 0.8× 211 0.5× 143 1.0× 20 1.1k
Jarrett Adams Canada 24 548 0.3× 1.1k 2.4× 391 1.0× 368 0.9× 228 1.6× 53 1.9k
Brian E. Collins United States 22 972 0.5× 1.9k 4.3× 128 0.3× 463 1.2× 102 0.7× 26 2.5k
Lisa F. Boyd United States 29 1.8k 1.0× 1.0k 2.3× 312 0.8× 641 1.6× 62 0.4× 59 2.7k
Hanspeter Michel United States 16 986 0.5× 1.1k 2.5× 132 0.3× 314 0.8× 37 0.3× 24 2.0k
Fabrice Lemaı̂tre France 32 2.5k 1.4× 717 1.6× 1.1k 2.8× 120 0.3× 234 1.6× 50 3.4k

Countries citing papers authored by Johannes Hampl

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Hampl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Hampl

This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Hampl. A scholar is included among the top collaborators of Johannes Hampl 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 Johannes Hampl. Johannes Hampl 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.
Longenecker, Kenton L., Yiliang Liu, Bryan Faust, et al.. (2021). Complex of human Melanotransferrin and SC57.32 Fab fragment reveals novel interdomain arrangement with ferric N-lobe and open C-lobe. Scientific Reports. 11(1). 566–566. 4 indexed citations
2.
Longenecker, Kenton L., et al.. (2020). Structure of human DPEP3 in complex with the SC-003 antibody Fab fragment reveals basis for lack of dipeptidase activity. Journal of Structural Biology. 211(1). 107512–107512. 6 indexed citations
4.
Davis, Mark M., Daniel S. Lyons, John D. Altman, et al.. (2007). T Cell Receptor Biochemistry, Repertoire Selection and General Features of TCR and Ig Structure. Novartis Foundation symposium. 204. 94–104. 4 indexed citations
5.
Krueger, Lori A., et al.. (2004). Identification of Human Antigen‐Specific T Cells Using MHC Class I and Class II Tetramers. Current Protocols in Cytometry. 30(1). Unit 6.18–Unit 6.18. 2 indexed citations
7.
Pokorová, D., S. Reschová, J. Fränz, Johannes Hampl, & Milan Dittrich. (2002). Antigenic and Adjuvant Activities of Branched Aliphatic Oligoester (M-DL-LA) Microspheres with Incorporated Bovine Rotavirus. Drug Delivery. 9(2). 105–111. 2 indexed citations
8.
Hampl, Johannes, Michael Hall, Naheed A. Mufti, et al.. (2001). Upconverting Phosphor Reporters in Immunochromatographic Assays. Analytical Biochemistry. 288(2). 176–187. 231 indexed citations
9.
Chien, Yueh-hsiu & Johannes Hampl. (2000). Antigen-recognition properties of murine γδ T cells. Springer Seminars in Immunopathology. 22(3). 239–250. 15 indexed citations
10.
Crowley, Michael P., Aude M. Fahrer, Nicole Baumgarth, et al.. (2000). A Population of Murine γδ T Cells That Recognize an Inducible MHC Class Ib Molecule. Science. 287(5451). 314–316. 161 indexed citations
11.
Hampl, Johannes, et al.. (1999). The Specificity of a Weak γδ TCR Interaction Can Be Modulated by the Glycosylation of the Ligand. The Journal of Immunology. 163(1). 288–294. 17 indexed citations
12.
Hampl, Johannes, et al.. (1999). The specificity of a weak gamma delta TCR interaction can be modulated by the glycosylation of the ligand.. PubMed. 163(1). 288–94. 20 indexed citations
13.
Boniface, J. Jay, Joshua D. Rabinowitz, Christoph Wülfing, et al.. (1998). Initiation of Signal Transduction through the T Cell Receptor Requires the Multivalent Engagement of Peptide/MHC Ligands. Immunity. 9(4). 459–466. 321 indexed citations
14.
Hampl, Johannes, Yueh‐hsiu Chien, & Mark M. Davis. (1997). CD4 Augments the Response of a T Cell to Agonist but Not to Antagonist Ligands. Immunity. 7(3). 379–385. 102 indexed citations
15.
Lyons, Daniel S., Johannes Hampl, J. Jay Boniface, et al.. (1996). A TCR Binds to Antagonist Ligands with Lower Affinities and Faster Dissociation Rates Than to Agonists. Immunity. 5(1). 53–61. 372 indexed citations
16.
Fränz, J., et al.. (1996). Immunogenicity of infectious bovine rhinotracheitis virus (BHV-1) proteins integrated into ISCOMs or liposomes.. PubMed. 41(7). 213–8. 2 indexed citations
17.
Hampl, Johannes, et al.. (1993). Requirements of Exogenous Protein Antigens for Presentation to CD4+ T lymphocytes By MHC Class II-Positive APC. Advances in experimental medicine and biology. 329. 23–27. 1 indexed citations
18.
Hampl, Johannes, Dimitrij Plachov, Hans‐Gregor Gattner, et al.. (1991). Presentation of insulin and insulin a chain peptides to mouse T cells: Involvement of cysteine residues. Molecular Immunology. 28(4-5). 479–487. 10 indexed citations
19.
Hampl, Johannes, et al.. (1990). Processing without proteolytic cleavage is required for recognition of insulin by T cells. European Journal of Immunology. 20(12). 2637–2641. 6 indexed citations
20.
Hampl, Johannes, et al.. (1988). Processing Requirements for the Recognition of Insulin Fragments by Murine T cells. Immunological Reviews. 106(1). 59–75. 16 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026