Johannes Griss

22.5k total citations · 2 hit papers
61 papers, 6.5k citations indexed

About

Johannes Griss is a scholar working on Molecular Biology, Spectroscopy and Immunology. According to data from OpenAlex, Johannes Griss has authored 61 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 29 papers in Spectroscopy and 19 papers in Immunology. Recurrent topics in Johannes Griss's work include Advanced Proteomics Techniques and Applications (29 papers), Metabolomics and Mass Spectrometry Studies (24 papers) and Mass Spectrometry Techniques and Applications (18 papers). Johannes Griss is often cited by papers focused on Advanced Proteomics Techniques and Applications (29 papers), Metabolomics and Mass Spectrometry Studies (24 papers) and Mass Spectrometry Techniques and Applications (18 papers). Johannes Griss collaborates with scholars based in Austria, United Kingdom and United States. Johannes Griss's co-authors include Henning Hermjakob, Juan Antonio Vizcaíno, Yasset Pérez‐Riverol, Florian Reisinger, Rui Wang, José A. Dianes, Attila Csordás, Noemí del‐Toro, Tobias Ternent and Gerhard Mayer and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Johannes Griss

60 papers receiving 6.5k citations

Hit Papers

align trajectories sort by overperformance

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.

2016 update of the PRIDE database and its related tools

2015 3.0k citations Juan Antonio Vizcaíno, Attila Csordás et al. profile →
The Proteomics Identifications (PRIDE) database and associated tools: status in 2013

2012 1.6k citations Juan Antonio Vizcaíno, Attila Csordás et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Johannes Griss Austria	25	4.1k	1.4k	856	592	520	61	6.5k
Pavel Sinitcyn Germany	13	4.4k 1.1×	1.1k 0.8×	952 1.1×	748 1.3×	463 0.9×	19	6.8k
Attila Csordás United Kingdom	17	4.0k 1.0×	1.2k 0.8×	543 0.6×	430 0.7×	565 1.1×	24	6.3k
Bernd Wollscheid Switzerland	46	4.6k 1.1×	1.8k 1.3×	1.3k 1.5×	766 1.3×	324 0.6×	115	7.6k
Annette Michalski Germany	10	4.5k 1.1×	2.0k 1.4×	611 0.7×	497 0.8×	360 0.7×	11	6.5k
Christian A. Luber Germany	10	3.2k 0.8×	1.1k 0.7×	808 0.9×	407 0.7×	292 0.6×	10	5.2k
Richard A. Scheltema Netherlands	34	5.3k 1.3×	2.1k 1.5×	605 0.7×	473 0.8×	463 0.9×	62	7.5k
Igor Paron Italy	18	4.1k 1.0×	1.3k 0.9×	596 0.7×	493 0.8×	309 0.6×	21	5.9k
Florian Reisinger United Kingdom	26	5.2k 1.3×	1.9k 1.3×	1.1k 1.3×	669 1.1×	553 1.1×	44	8.0k
Martin Eisenacher Germany	41	5.4k 1.3×	1.7k 1.2×	856 1.0×	840 1.4×	398 0.8×	163	8.6k
José A. Dianes United Kingdom	8	3.2k 0.8×	1000 0.7×	475 0.6×	369 0.6×	494 0.9×	11	5.0k

Countries citing papers authored by Johannes Griss

Since Specialization

Citations

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

Fields of papers citing papers by Johannes Griss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Griss

This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Griss. A scholar is included among the top collaborators of Johannes Griss 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 Griss. Johannes Griss 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

Bangert, Christine, Natalia Alkon, Constanze Jonak, et al.. (2024). Dupilumab-associated head and neck dermatitis shows a pronounced type 22 immune signature mediated by oligoclonally expanded T cells. Nature Communications. 15(1). 2839–2839. 27 indexed citations

Ragueneau, Eliot, et al.. (2024). ReactomeGSA: new features to simplify public data reuse. Bioinformatics. 40(6). 3 indexed citations

Rindler, Katharina, Maheshvari Naidu, Natalia Alkon, et al.. (2024). Single-cell RNA sequencing of chronic idiopathic erythroderma defines disease-specific markers. Journal of Allergy and Clinical Immunology. 155(3). 892–908. 1 indexed citations

Rindler, Katharina, Natalia Alkon, Wolfgang Weninger, et al.. (2024). Single-cell RNA sequencing comparison of CD4+, CD8+ and T-cell receptor γδ+ cutaneous T-cell lymphomas reveals subset-specific molecular phenotypes. British Journal of Dermatology. 192(2). 269–282. 4 indexed citations

Griss, Johannes, Gudrun Ratzinger, Julia‐Tatjana Maul, et al.. (2023). No Impact of Disease Duration on Response to Tildrakizumab Treatment Among Patients with Moderate-to-Severe Plaque Psoriasis: Post Hoc Analyses from Two Phase 3 (Resurface 1 and Resurface 2) and One Phase 4 (Tribute) Studies. SHILAP Revista de lepidopterología. 3(5). e263–e263. 3 indexed citations

Griss, Johannes, et al.. (2023). 158 The keratin-associated protein epiplakin is down-regulated in psoriasis. Journal of Investigative Dermatology. 143(11). S359–S359. 1 indexed citations

Luo, Xiyang, Wout Bittremieux, Johannes Griss, et al.. (2022). A Comprehensive Evaluation of Consensus Spectrum Generation Methods in Proteomics. Journal of Proteome Research. 21(6). 1566–1574. 5 indexed citations

Bangert, Christine, Katharina Rindler, Thomas Krausgruber, et al.. (2021). Persistence of mature dendritic cells, T _H 2A, and Tc2 cells characterize clinically resolved atopic dermatitis under IL-4Rα blockade. Science Immunology. 6(55). 109 indexed citations

Rindler, Katharina, Thomas Krausgruber, Felix M. Thaler, et al.. (2021). Spontaneously Resolved Atopic Dermatitis Shows Melanocyte and Immune Cell Activation Distinct From Healthy Control Skin. Frontiers in Immunology. 12. 630892–630892. 29 indexed citations

10.

Werner, Franziska, Katharina Glatz, Kirsten D. Mertz, et al.. (2021). 265 A standardized analysis of tertiary lymphoid structures in human melanoma: disease progression- and tumor site-associated changes with germinal center alteration. Journal of Investigative Dermatology. 141(10). S194–S194.

11.

Quint, Tamara, Valerie Dahm, Dariga Ramazanova, et al.. (2021). Omalizumab-Induced Aspirin Tolerance in Nonsteroidal Anti-Inflammatory Drug–Exacerbated Respiratory Disease Patients Is Independent of Atopic Sensitization. The Journal of Allergy and Clinical Immunology In Practice. 10(2). 506–516.e6. 20 indexed citations

12.

Griss, Johannes & Veit Schwämmle. (2021). Analysis of Label-Based Quantitative Proteomics Data Using IsoProt. Methods in molecular biology. 2361. 61–73. 1 indexed citations

13.

Griss, Johannes, Guilherme Viteri, Konstantinos Sidiropoulos, et al.. (2020). ReactomeGSA - Efficient Multi-Omics Comparative Pathway Analysis. Molecular & Cellular Proteomics. 19(12). 2115–2125. 183 indexed citations

14.

Parsons, Harriet T., Tim J. Stevens, Heather E. McFarlane, et al.. (2019). Separating Golgi Proteins from Cis to Trans Reveals Underlying Properties of Cisternal Localization. The Plant Cell. 31(9). 2010–2034. 36 indexed citations

15.

Griss, Johannes, Otto Hudecz, Gerhard Dürnberger, et al.. (2019). Spectral Clustering Improves Label-Free Quantification of Low-Abundant Proteins. Journal of Proteome Research. 18(4). 1477–1485. 11 indexed citations

16.

Weiss, Douglas J., Robin Ristl, Johannes Griss, et al.. (2015). Autoantibody Levels and Clinical Disease Severity in Patients with Pemphigus: Comparison of Aggregated Anti-desmoglein ELISA Values and Indirect Immunofluorescence Titres. Acta Dermato Venereologica. 95(5). 559–564. 34 indexed citations

17.

Pérez‐Riverol, Yasset, Rui Wang, Julian Uszkoreit, et al.. (2015). PRIDE Inspector Toolsuite: Moving Toward a Universal Visualization Tool for Proteomics Data Standard Formats and Quality Assessment of ProteomeXchange Datasets. Molecular & Cellular Proteomics. 15(1). 305–317. 135 indexed citations

18.

Griss, Johannes, et al.. (2011). GPDE: A biological proteomic database for biomarker discovery and evaluation. PROTEOMICS. 11(5). 1000–1004. 13 indexed citations

19.

Griss, Johannes, María Martin, Claire O’Donovan, et al.. (2011). Consequences of the discontinuation of the International Protein Index (IPI) database and its substitution by the UniProtKB “complete proteome” sets. PROTEOMICS. 11(22). 4434–4438. 24 indexed citations

20.

Foster, Joseph, Sven Degroeve, Laurent Gatto, et al.. (2011). A posteriori quality control for the curation and reuse of public proteomics data. PROTEOMICS. 11(11). 2182–2194. 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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