Harald Kropshofer

6.0k total citations · 2 hit papers
73 papers, 4.5k citations indexed

About

Harald Kropshofer is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Harald Kropshofer has authored 73 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Immunology, 24 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Molecular Biology. Recurrent topics in Harald Kropshofer's work include Immunotherapy and Immune Responses (32 papers), T-cell and B-cell Immunology (32 papers) and Monoclonal and Polyclonal Antibodies Research (23 papers). Harald Kropshofer is often cited by papers focused on Immunotherapy and Immune Responses (32 papers), T-cell and B-cell Immunology (32 papers) and Monoclonal and Polyclonal Antibodies Research (23 papers). Harald Kropshofer collaborates with scholars based in Germany, Switzerland and United States. Harald Kropshofer's co-authors include Anne B. Vogt, Günter J. Hämmerling, Thomas P. Singer, Jane A. Mitchell, Trevor T. Hansel, Andrew J.T. George, David Leppert, Jens Kühle, Davorka Tomic and Christian Barro and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Harald Kropshofer

71 papers receiving 4.4k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The safety and side effects of monoclonal antibodies

2010 821 citations Harald Kropshofer et al. profile →
Blood neurofilament light chain as a biomarker of MS disease activity and treatment response

2019 379 citations Jens Kühle, Harald Kropshofer et al. Neurology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Harald Kropshofer Germany	34	2.4k	1.4k	960	720	508	73	4.5k
Dennis J. Mitchell United States	34	4.1k 1.8×	3.7k 2.6×	1.0k 1.1×	1.1k 1.5×	917 1.8×	44	8.7k
Anna Erdei Hungary	36	2.5k 1.1×	1.3k 0.9×	666 0.7×	136 0.2×	230 0.5×	176	4.8k
Anskar Y.H. Leung Hong Kong	33	1.1k 0.5×	2.9k 2.0×	620 0.6×	680 0.9×	1.3k 2.5×	112	5.5k
Silvano Ferrini Italy	55	5.5k 2.3×	2.3k 1.6×	889 0.9×	479 0.7×	3.0k 5.8×	228	8.7k
Marion H. Brown United Kingdom	38	4.3k 1.8×	1.3k 0.9×	534 0.6×	207 0.3×	938 1.8×	73	6.2k
Pu Zhang China	36	1.5k 0.7×	3.1k 2.2×	242 0.3×	308 0.4×	992 2.0×	163	6.5k
Tom Vink Netherlands	25	1.0k 0.4×	1.2k 0.9×	1.3k 1.4×	391 0.5×	854 1.7×	34	3.6k
Ada Funaro Italy	35	1.6k 0.7×	1.2k 0.9×	315 0.3×	473 0.7×	782 1.5×	94	5.0k
Edith M. Lord United States	41	2.5k 1.0×	1.8k 1.2×	990 1.0×	193 0.3×	2.2k 4.3×	139	6.1k
Hans Wacker Germany	26	792 0.3×	2.0k 1.4×	398 0.4×	778 1.1×	1.4k 2.8×	55	5.7k

Countries citing papers authored by Harald Kropshofer

Since Specialization

Citations

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

Fields of papers citing papers by Harald Kropshofer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harald Kropshofer

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

All Works

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20 of 20 papers shown

Leppert, David, Harald Kropshofer, Dieter A. Häring, et al.. (2022). Blood Neurofilament Light in Progressive Multiple Sclerosis. Neurology. 98(21). e2120–e2131. 33 indexed citations

Barro, Christian, Brian C. Healy, Yanqing Liu, et al.. (2022). Serum GFAP and NfL Levels Differentiate Subsequent Progression and Disease Activity in Patients With Progressive Multiple Sclerosis. Neurology Neuroimmunology & Neuroinflammation. 10(1). 92 indexed citations

Ziemssen, Tjalf, Douglas L. Arnold, Enrique Álvarez, et al.. (2022). Prognostic Value of Serum Neurofilament Light Chain for Disease Activity and Worsening in Patients With Relapsing Multiple Sclerosis: Results From the Phase 3 ASCLEPIOS I and II Trials. Frontiers in Immunology. 13. 852563–852563. 28 indexed citations

Bar‐Or, Amit, Edward Fox, Alexandra Goodyear, et al.. (2020). Onset of B-cell Depletion and Suppression of MRI Activity with Ofatumumab Treatment in Relapsing Multiple Sclerosis: The APLIOS Study (3971). Neurology. 94(15_supplement). 1 indexed citations

Benkert, Pascal, Jens Wuerfel, Zuzanna Michalak, et al.. (2020). Serum neurofilament light chain is a useful biomarker in pediatric multiple sclerosis. Neurology Neuroimmunology & Neuroinflammation. 7(4). 44 indexed citations

Sormani, Maria Pia, Dieter Haering, Harald Kropshofer, et al.. (2019). Blood neurofilament light as a potential endpoint in Phase 2 studies in MS. Annals of Clinical and Translational Neurology. 6(6). 1081–1089. 42 indexed citations

Jakimovski, Dejan, Robert Zivadinov, Murali Ramanathan, et al.. (2019). Serum neurofilament light chain levels and cognitive performance in multiple sclerosis: a longitudinal retrospective 5-year study (S37.002). Neurology. 92(15_supplement). 1 indexed citations

Hagemeier, Jesper, Eleonora Tavazzi, Murali Ramanathan, et al.. (2019). The association between serum neurofilament light chain and OCT measures in multiple sclerosis (S37.007). Neurology. 92(15_supplement). 1 indexed citations

Sormani, Maria Pia, Ludwig Kappos, Dieter A. Häring, et al.. (2018). Including Blood Neurofilament Light Chain in the NEDA Concept in Relapsing–Remitting Multiple Sclerosis Trials (S24.007). Neurology. 90(15_supplement). 8 indexed citations

10.

Kühle, Jens, Harald Kropshofer, Rolf Meinert, et al.. (2018). Long-term Prognosis of Disease Evolution and Evidence for Sustained Fingolimod Treatment Effect by Blood Neurofilament Light in RRMS Patients (S24.004). Neurology. 90(15_supplement). 1 indexed citations

11.

Röhn, Till A., Annette Paschen, Xuan Duc Nguyen, et al.. (2005). A Novel Strategy for the Discovery of MHC Class II–Restricted Tumor Antigens: Identification of a Melanotransferrin Helper T-Cell Epitope. Cancer Research. 65(21). 10068–10078. 32 indexed citations

12.

Koonce, Chad H., Gordana Wutz, Elizabeth J. Robertson, et al.. (2003). DM Loss in k Haplotype Mice Reveals Isotype-Specific Chaperone Requirements. The Journal of Immunology. 170(7). 3751–3761. 37 indexed citations

13.

Kropshofer, Harald, et al.. (2002). Recruitment of MHC Class I Molecules by Tapasin into the Transporter Associated with Antigen Processing-Associated Complex Is Essential for Optimal Peptide Loading. The Journal of Immunology. 168(4). 1950–1960. 96 indexed citations

14.

Kropshofer, Harald, Sebastian Spindeldreher, Till A. Röhn, et al.. (2001). Tetraspan microdomains distinct from lipid rafts enrich select peptide–MHC class II complexes. Nature Immunology. 3(1). 61–68. 180 indexed citations

15.

Kasai, Michiyuki, Harald Kropshofer, Anne B. Vogt, Eiki Kominami, & Toshiaki Mizuochi. (2000). CLIP-derived self peptides bound to MHC class II molecules of medullary thymic epithelial cells differ from those of cortical thymic epithelial cells in their diversity, length, and C-terminal processing. European Journal of Immunology. 30(12). 3542–3551. 15 indexed citations

16.

Vogt, Anne B., Harald Kropshofer, Fiorenza Falcioni, et al.. (1998). Binding affinity independent contribution of peptide length to the stability of peptide-HLA-DR complexes in live antigen presenting cells. Human Immunology. 59(8). 463–471. 14 indexed citations

17.

Vogt, Anne B., Harald Kropshofer, Hubert Kalbacher, et al.. (1994). Ligand motifs of HLA-DRB5*0101 and DRB1*1501 molecules delineated from self-peptides.. The Journal of Immunology. 153(4). 1665–1673. 151 indexed citations

18.

Kropshofer, Harald, et al.. (1993). Self-peptides from four HLA-DR alleles share hydrophobic anchor residues near the NH2-terminal including proline as a stop signal for trimming.. The Journal of Immunology. 151(9). 4732–4742. 35 indexed citations

19.

Bühring, Hans‐Jörg, Ronald Herbst, Birgit Bossenmaier, et al.. (1993). Modulation of p145c-kit function in cells of patients with acute myeloblastic leukemia.. PubMed. 53(18). 4424–31. 16 indexed citations

20.

Kropshofer, Harald, Christophe Muller, Friedemann Hesse, et al.. (1992). Self-peptide released from class II HLA-DR1 exhibits a hydrophobic two-residue contact motif.. The Journal of Experimental Medicine. 175(6). 1799–1803. 72 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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