Thomas Halder

1.1k total citations
19 papers, 827 citations indexed

About

Thomas Halder is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Thomas Halder has authored 19 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 11 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Thomas Halder's work include Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (4 papers) and vaccines and immunoinformatics approaches (4 papers). Thomas Halder is often cited by papers focused on Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (4 papers) and vaccines and immunoinformatics approaches (4 papers). Thomas Halder collaborates with scholars based in Germany, Denmark and United Kingdom. Thomas Halder's co-authors include Hubert Kalbacher, Graham Pawelec, Helmut E. Meyer, Ralf Rabus, R. Merget, Xaver Baur, Ingrid Sander, Lars Wöhlbrand, Matthias Kalbus and Claudia Müller and has published in prestigious journals such as Blood, The Journal of Immunology and Applied and Environmental Microbiology.

In The Last Decade

Thomas Halder

19 papers receiving 805 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Halder Germany 15 345 341 117 113 92 19 827
T. Harma C. Brondijk Netherlands 16 218 0.6× 478 1.4× 47 0.4× 140 1.2× 74 0.8× 19 1.1k
H.S. Lu United States 16 268 0.8× 634 1.9× 242 2.1× 124 1.1× 53 0.6× 21 1.3k
Å. Larsson Sweden 19 284 0.8× 424 1.2× 178 1.5× 73 0.6× 31 0.3× 31 1.1k
Xinrui Li China 15 325 0.9× 276 0.8× 58 0.5× 48 0.4× 27 0.3× 59 878
Hans G. Drexler Germany 18 357 1.0× 517 1.5× 278 2.4× 35 0.3× 20 0.2× 50 1.3k
Sandra N. Freiberger Switzerland 17 311 0.9× 288 0.8× 281 2.4× 71 0.6× 70 0.8× 46 1.1k
Min Wei China 20 443 1.3× 613 1.8× 249 2.1× 26 0.2× 63 0.7× 81 1.6k
Rongrong Wu United States 20 248 0.7× 647 1.9× 317 2.7× 31 0.3× 36 0.4× 66 1.7k
Thomas Petri Germany 15 98 0.3× 333 1.0× 135 1.2× 32 0.3× 108 1.2× 24 867
Chandrasekhar Gujuluva United States 10 167 0.5× 440 1.3× 189 1.6× 77 0.7× 60 0.7× 11 1.0k

Countries citing papers authored by Thomas Halder

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Halder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Halder

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

All Works

19 of 19 papers shown
1.
Lohmann, T, Thomas Halder, Jan O. Engler, et al.. (2009). T cell reactivity to DR*0401- and DQ*0302-binding peptides of the putative autoantigen IA-2 in type 1 diabetes. Experimental and Clinical Endocrinology & Diabetes. 107(3). 166–171. 1 indexed citations
2.
Trautwein, Kathleen, et al.. (2008). Solvent Stress Response of the Denitrifying Bacterium “ Aromatoleum aromaticum ” Strain EbN1. Applied and Environmental Microbiology. 74(8). 2267–2274. 59 indexed citations
3.
Wöhlbrand, Lars, Heinz Wilkes, Thomas Halder, & Ralf Rabus. (2008). Anaerobic Degradation of p -Ethylphenol by “ Aromatoleum aromaticum ” Strain EbN1: Pathway, Regulation, and Involved Proteins. Journal of Bacteriology. 190(16). 5699–5709. 42 indexed citations
4.
Grundmann, Olav, Astrid Behrends, Ralf Rabus, et al.. (2007). Genes encoding the candidate enzyme for anaerobic activation of n ‐alkanes in the denitrifying bacterium, strain HxN1. Environmental Microbiology. 10(2). 376–385. 93 indexed citations
5.
Seliger, Barbara, Rudolf Lichtenfels, Derek Atkins, et al.. (2005). Identification of fatty acid binding proteins as markers associated with the initiation and/or progression of renal cell carcinoma. PROTEOMICS. 5(10). 2631–2640. 36 indexed citations
6.
Seliger, Barbara, Rudolf Lichtenfels, Derek Atkins, et al.. (2003). Identification of markers for the selection of patients undergoing renal cell carcinoma‐specific immunotherapy. PROTEOMICS. 3(6). 979–990. 39 indexed citations
7.
Sander, Ingrid, et al.. (2001). Identification of wheat flour allergens by means of 2-dimensional immunoblotting. Journal of Allergy and Clinical Immunology. 107(5). 907–913. 121 indexed citations
8.
Halder, Thomas, Martin Blüggel, Susanne Heinzel, et al.. (2000). Defensins are dominant HLA-DR-associated self-peptides from CD34− peripheral blood mononuclear cells of different tumor patients (plasmacytoma, chronic myeloid leukemia). Blood. 95(9). 2890–2896. 19 indexed citations
9.
10.
Li, Kun, Medi Adibzadeh, Thomas Halder, et al.. (1998). Tumour-specific MHC-class-II-restricted responses after in vitro sensitization to synthetic peptides corresponding to gp100 and Annexin II eluted from melanoma cells. Cancer Immunology Immunotherapy. 47(1). 32–38. 69 indexed citations
11.
Halder, Thomas, Graham Pawelec, Alexei F. Kirkin, et al.. (1997). Isolation of novel HLA-DR restricted potential tumor-associated antigens from the melanoma cell line FM3.. PubMed. 57(15). 3238–44. 71 indexed citations
12.
13.
Fleckenstein, Burkhard, Hubert Kalbacher, Claude P. Muller, et al.. (1996). New Ligands Binding to the Human Leukocyte Antigen Class II Molecule DRB1*0101 Based on the Activity Pattern of an Undecapeptide Library. European Journal of Biochemistry. 240(1). 71–77. 51 indexed citations
14.
Pawelec, Graham, Thomas Halder, Hubert Kalbacher, et al.. (1996). The Role of Endogenous Peptides in the Direct Pathway of Alloreactivity to Human MHC Class II Molecules Expressed on CHO Cells. Immunological Reviews. 154(1). 155–173. 7 indexed citations
15.
Kalbacher, Hubert, et al.. (1996). An invariant chain peptide different from the clip region is a dominant self peptide of HLA-DP1. Human Immunology. 47(1-2). 20–20. 1 indexed citations
16.
Halder, Thomas, Graham Pawelec, Alexei F. Kirkin, et al.. (1996). A peptide from the known HLA class I restricted melanoma-specific tumor antigen GP100 is presented by HLA-DR in the melanoma cell line FM3. Human Immunology. 47(1-2). 22–22. 1 indexed citations
17.
Halder, Thomas, et al.. (1994). A 16mer peptide of the human autoantigen calreticulin is a most prominent HLA-DR4Dw4-associated self-peptide. Human Immunology. 41(1). 39–45. 25 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.
Halder, Thomas, et al.. (1993). Characterization of peptides bound to extracellular and intracellular HLA-DR1 molecules. Human Immunology. 38(3). 193–200. 30 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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