Thomas P. Hofer

1.4k total citations
23 papers, 996 citations indexed

About

Thomas P. Hofer is a scholar working on Immunology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Thomas P. Hofer has authored 23 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Oncology. Recurrent topics in Thomas P. Hofer's work include Immune cells in cancer (7 papers), Immune Cell Function and Interaction (6 papers) and Immune Response and Inflammation (6 papers). Thomas P. Hofer is often cited by papers focused on Immune cells in cancer (7 papers), Immune Cell Function and Interaction (6 papers) and Immune Response and Inflammation (6 papers). Thomas P. Hofer collaborates with scholars based in Germany, United Kingdom and Netherlands. Thomas P. Hofer's co-authors include Loems Ziegler‐Heitbrock, Marion Frankenberger, Christiane Eder, Irene Heimbeck, Adam Wright, Ayman Marei, Wolfgang Gesierich, Jürgen E. Scherberich, Gunnar H. Heine and Björn Rotter and has published in prestigious journals such as Blood, Hepatology and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Thomas P. Hofer

23 papers receiving 988 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 P. Hofer Germany 15 553 293 231 121 99 23 996
Ismé de Kleer Netherlands 11 913 1.7× 362 1.2× 327 1.4× 193 1.6× 87 0.9× 15 1.4k
Erik Hack Netherlands 14 633 1.1× 210 0.7× 128 0.6× 116 1.0× 70 0.7× 19 1.2k
Catriona A. Wagner United States 18 349 0.6× 190 0.6× 173 0.7× 80 0.7× 107 1.1× 24 1.2k
S. Post Netherlands 6 723 1.3× 261 0.9× 358 1.5× 118 1.0× 49 0.5× 9 1.2k
Cécile Contin‐Bordes France 19 619 1.1× 306 1.0× 173 0.7× 118 1.0× 89 0.9× 54 1.3k
Isis Ludwig‐Portugall Germany 17 620 1.1× 380 1.3× 119 0.5× 166 1.4× 165 1.7× 26 1.3k
Wataru Matsuyama Japan 19 235 0.4× 232 0.8× 199 0.9× 108 0.9× 123 1.2× 46 896
Jonatan Leffler Australia 17 1.0k 1.9× 363 1.2× 223 1.0× 83 0.7× 37 0.4× 34 1.4k
F. C. Schmalstieg United States 9 424 0.8× 167 0.6× 125 0.5× 198 1.6× 65 0.7× 20 920
Gloria Vásquez Colombia 22 739 1.3× 384 1.3× 85 0.4× 155 1.3× 106 1.1× 91 1.4k

Countries citing papers authored by Thomas P. Hofer

Since Specialization
Citations

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

Fields of papers citing papers by Thomas P. Hofer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas P. Hofer

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas P. Hofer. A scholar is included among the top collaborators of Thomas P. Hofer 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 P. Hofer. Thomas P. Hofer 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.
Wang, Yan, Kai P. Hoefig, Thomas P. Hofer, et al.. (2024). CD30 influences germinal center B-cell dynamics and the expansion of IgG1-switched B cells. Cellular and Molecular Immunology. 21(12). 1410–1425. 1 indexed citations
2.
3.
Hofer, Thomas P., et al.. (2022). Combining HDAC and MEK Inhibitors with Radiation against Glioblastoma-Derived Spheres. Cells. 11(5). 775–775. 14 indexed citations
4.
Zhang, Lu, Thomas P. Hofer, Adam M. Zawada, et al.. (2020). Epigenetics in non-classical monocytes support their pro-inflammatory gene expression. Immunobiology. 225(3). 151958–151958. 5 indexed citations
5.
Hofer, Thomas P., Arjan A. van de Loosdrecht, Christiane Stahl‐Hennig, Marco A. Cassatella, & Loems Ziegler‐Heitbrock. (2019). 6-Sulfo LacNAc (Slan) as a Marker for Non-classical Monocytes. Frontiers in Immunology. 10. 2052–2052. 30 indexed citations
6.
Lehmann, Mareike, Olivier Burgy, Sarah Hermann, et al.. (2018). Increased Extracellular Vesicles Mediate WNT5A Signaling in Idiopathic Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 198(12). 1527–1538. 140 indexed citations
7.
Hofer, Thomas P., Adam M. Zawada, Marion Frankenberger, et al.. (2015). slan-defined subsets of CD16-positive monocytes: impact of granulomatous inflammation and M-CSF receptor mutation. Blood. 126(24). 2601–2610. 97 indexed citations
8.
Hofer, Thomas P., Marion Frankenberger, Irene Heimbeck, et al.. (2014). Decreased expression of HLA-DQ and HLA-DR on cells of the monocytic lineage in cystic fibrosis. Journal of Molecular Medicine. 92(12). 1293–1304. 21 indexed citations
9.
Ziegler‐Heitbrock, Loems & Thomas P. Hofer. (2013). Toward a Refined Definition of Monocyte Subsets. Frontiers in Immunology. 4. 23–23. 243 indexed citations
10.
Frankenberger, Marion, Arif B. Ekici, Matthias Angstwurm, et al.. (2012). A defect of CD16-positive monocytes can occur without disease. Immunobiology. 218(2). 169–174. 14 indexed citations
11.
Frankenberger, Marion, Christiane Eder, Thomas P. Hofer, et al.. (2011). Chemokine Expression by Small Sputum Macrophages in COPD. Molecular Medicine. 17(7-8). 762–770. 35 indexed citations
12.
Mamidi, Srinivas, Thomas P. Hofer, Reinhard Hoffmann, Löms Ziegler-Heitbrock, & Marion Frankenberger. (2011). All-trans retinoic acid up-regulates Prostaglandin-E Synthase expression in human macrophages. Immunobiology. 217(6). 593–600. 8 indexed citations
13.
Heimbeck, Irene, Thomas P. Hofer, Christiane Eder, et al.. (2010). Standardized single‐platform assay for human monocyte subpopulations: Lower CD14+CD16++ monocytes in females. Cytometry Part A. 77A(9). 823–830. 105 indexed citations
14.
Eder, Christiane, Marion Frankenberger, Franz Stanzel, et al.. (2009). Ultrafine carbon particles down-regulate CYP1B1 expression in human monocytes. Particle and Fibre Toxicology. 6(1). 27–27. 8 indexed citations
15.
Wright, Adam, Christiane Eder, Thomas P. Hofer, et al.. (2009). Pivotal Advance: Expansion of small sputum macrophages in CF: failure to express MARCO and mannose receptors. Journal of Leukocyte Biology. 86(3). 479–489. 45 indexed citations
16.
Hofer, Thomas P., et al.. (2008). Monitoring of glucocorticoid therapy by assessment of CD14+CD16+ monocytes: A case report. Immunobiology. 213(9-10). 909–916. 5 indexed citations
17.
Staples, Karl J., Timothy Smallie, Lynn Williams, et al.. (2008). Role of STAT3 in glucocorticoid-induced expression of the human IL-10 gene. Molecular Immunology. 45(11). 3230–3237. 36 indexed citations
18.
Hofer, Thomas P., et al.. (2008). Tolerance induced via TLR2 and TLR4 in human dendritic cells: role of IRAK-1. BMC Immunology. 9(1). 69–69. 38 indexed citations
19.
Hofer, Thomas P., Marion Frankenberger, Karl J. Staples, & Löms Ziegler-Heitbrock. (2006). Expression of p57-Kip2 in monocytes and macrophages. Immunobiology. 211(6-8). 455–462. 1 indexed citations
20.

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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