Thomas Albert

2.9k total citations
51 papers, 1.9k citations indexed

About

Thomas Albert is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Thomas Albert has authored 51 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 18 papers in Immunology and 6 papers in Oncology. Recurrent topics in Thomas Albert's work include T-cell and B-cell Immunology (15 papers), Genomics and Chromatin Dynamics (14 papers) and Immune Cell Function and Interaction (14 papers). Thomas Albert is often cited by papers focused on T-cell and B-cell Immunology (15 papers), Genomics and Chromatin Dynamics (14 papers) and Immune Cell Function and Interaction (14 papers). Thomas Albert collaborates with scholars based in Germany, United States and Switzerland. Thomas Albert's co-authors include Dirk Eick, Michael Meisterernst, Martin Heidemann, H. T. Marc Timmers, Rolf Boelens, Elisabeth Kremmer, Hiroyuki Hanzawa, John B. Perkins, Bastien Chevreux and Markus Wyss and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Thomas Albert

48 papers receiving 1.9k 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 Albert Germany 18 1.5k 272 248 227 143 51 1.9k
Robert F. Harvey United Kingdom 22 1.0k 0.7× 428 1.6× 278 1.1× 126 0.6× 142 1.0× 40 1.5k
Kuo Ping Chiu Singapore 11 1.4k 0.9× 157 0.6× 183 0.7× 158 0.7× 290 2.0× 17 1.9k
Robert A. Marciniak United States 20 1.8k 1.2× 224 0.8× 200 0.8× 254 1.1× 226 1.6× 28 2.4k
Chieri Tomomori‐Sato United States 19 1.9k 1.2× 236 0.9× 237 1.0× 124 0.5× 135 0.9× 24 2.3k
Olga I. Kulaeva United States 26 1.9k 1.3× 213 0.8× 262 1.1× 126 0.6× 123 0.9× 53 2.2k
Guang‐Jer Wu United States 23 865 0.6× 262 1.0× 206 0.8× 109 0.5× 128 0.9× 48 1.3k
Mitsuhiro Shimizu Japan 21 1.9k 1.3× 148 0.5× 310 1.3× 198 0.9× 71 0.5× 53 2.4k
Claude Kédinger France 24 1.3k 0.9× 278 1.0× 468 1.9× 196 0.9× 91 0.6× 38 1.6k
Nahum Sonenberg Canada 19 2.6k 1.7× 150 0.6× 225 0.9× 239 1.1× 118 0.8× 24 3.0k
Christine Milcarek United States 26 1.7k 1.1× 154 0.6× 183 0.7× 481 2.1× 171 1.2× 62 2.2k

Countries citing papers authored by Thomas Albert

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Albert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Albert

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Albert. A scholar is included among the top collaborators of Thomas Albert 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 Albert. Thomas Albert 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.
Walter, Carolin, Eric Suero Molina, Walter Stummer, et al.. (2024). Single-cell transcriptomics link gene expression signatures to clinicopathological features of gonadotroph and lactotroph PitNET. Journal of Translational Medicine. 22(1). 1027–1027. 1 indexed citations
2.
Walter, Carolin, Natalia Moreno, Marc Hotfilder, et al.. (2023). A Carboxy-terminal Smarcb1 Point Mutation Induces Hydrocephalus Formation and Affects AP-1 and Neuronal Signalling Pathways in Mice. Cellular and Molecular Neurobiology. 43(7). 3511–3526. 4 indexed citations
3.
Schoof, Melanie, Carolin Walter, Julian Varghese, et al.. (2023). The tumor suppressor CREBBP and the oncogene MYCN cooperate to induce malignant brain tumors in mice. Oncogenesis. 12(1). 36–36. 4 indexed citations
4.
Walter, Carolin, Natalia Moreno, Marc Hotfilder, et al.. (2022). Smarcb1 Loss Results in a Deregulation of esBAF Binding and Impacts the Expression of Neurodevelopmental Genes. Cells. 11(8). 1354–1354. 5 indexed citations
5.
Yan, Yuanqing, Nan Sun, Hong Wang, et al.. (2019). Whole Genome–Derived Tiled Peptide Arrays Detect Prediagnostic Autoantibody Signatures in Non–Small-Cell Lung Cancer. Cancer Research. 79(7). 1549–1557. 15 indexed citations
6.
Interlandi, Marta, Natalia Moreno, Joachim Gerß, et al.. (2019). Macrophage-tumor cell interaction promotes ATRT progression and chemoresistance. Acta Neuropathologica. 139(5). 913–936. 17 indexed citations
7.
Koch, Frédéric, Romain Fenouil, Marta Gut, et al.. (2011). Transcription initiation platforms and GTF recruitment at tissue-specific enhancers and promoters. Nature Structural & Molecular Biology. 18(8). 956–963. 248 indexed citations
8.
Witter, K., et al.. (2009). Sequence‐based HLA high‐resolution retyping of a bone marrow donor/recipient pair reveals the novel HLA allele DQB1*0322. Tissue Antigens. 73(3). 283–285. 8 indexed citations
9.
Witter, K., Heinke Conrad, H. Bernhard, Thomas Albert, & Teresa Kauke. (2009). HLA‐B*1832, a novel B allele was found through high‐resolution HLA typing of a Spanish blood donor. Tissue Antigens. 74(2). 170–172. 2 indexed citations
10.
Chapman, Rob D., Martin Heidemann, Thomas Albert, et al.. (2007). Transcribing RNA Polymerase II Is Phosphorylated at CTD Residue Serine-7. Science. 318(5857). 1780–1782. 250 indexed citations
11.
12.
Witter, K., Thomas Albert, R. Zahn, & Teresa Kauke. (2006). A novel HLA‐DQB1*06 allele, DQB1*0628†, found through routine sequence‐based HLA typing and confirmation of DQB1*060302. Tissue Antigens. 69(1). 102–103. 9 indexed citations
13.
14.
Winkler, G. Sebastiaan, et al.. (2004). An Altered-specificity Ubiquitin-conjugating Enzyme/Ubiquitin–Protein Ligase Pair. Journal of Molecular Biology. 337(1). 157–165. 41 indexed citations
15.
Albert, Thomas, Julie Wells, Andrea Pullner, et al.. (2001). The Chromatin Structure of the Dual c-myc Promoter P1/P2 Is Regulated by Separate Elements. Journal of Biological Chemistry. 276(23). 20482–20490. 54 indexed citations
16.
Albert, Thomas. (2000). Isolation and characterization of human orthologs of yeast CCR4-NOT complex subunits. Nucleic Acids Research. 28(3). 809–817. 132 indexed citations
17.
Albert, Thomas, et al.. (1999). Transcriptional regulation of the Ig kappa gene by promoter-proximal pausing of RNA polymerase II.. PubMed. 163(8). 4375–82. 23 indexed citations
18.
Albert, Thomas, et al.. (1999). Transcriptional Regulation of the Igκ Gene by Promoter-Proximal Pausing of RNA Polymerase II. The Journal of Immunology. 163(8). 4375–4382. 23 indexed citations
19.
Pullner, Andrea, Josef Mautner, Thomas Albert, & Dirk Eick. (1996). Nucleosomal Structure of Active and Inactive c-myc Genes. Journal of Biological Chemistry. 271(49). 31452–31457. 27 indexed citations
20.
Albert, Thomas, et al.. (1984). A MODEL FOR DETERMINING THE WIDTH OF AIRPORT PEDESTRIAN CORRIDORS. Transportation Research Record Journal of the Transportation Research Board. 4 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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