Tom Büchse

558 total citations
10 papers, 446 citations indexed

About

Tom Büchse is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Tom Büchse has authored 10 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Physiology. Recurrent topics in Tom Büchse's work include Cytokine Signaling Pathways and Interactions (6 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Tom Büchse is often cited by papers focused on Cytokine Signaling Pathways and Interactions (6 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Tom Büchse collaborates with scholars based in Germany, Canada and Egypt. Tom Büchse's co-authors include Gerald Krystal, Janet Kalesnikoff, Michael J. Rauh, Laura M. Sly, Thomas Bittorf, Robert Jaster, Josef Brock, Eberhard Krause, Ralf P. Brandes and Alexandra Aicher and has published in prestigious journals such as Journal of Biological Chemistry, Circulation Research and Molecular & Cellular Proteomics.

In The Last Decade

Tom Büchse

10 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tom Büchse Germany	8	245	161	97	90	71	10	446
I. L. O. Ponting United Kingdom	9	213 0.9×	177 1.1×	171 1.8×	81 0.9×	64 0.9×	12	511
Katja Björklöf Switzerland	7	384 1.6×	105 0.7×	53 0.5×	90 1.0×	37 0.5×	12	536
Josef Brock Germany	14	179 0.7×	211 1.3×	91 0.9×	134 1.5×	50 0.7×	27	471
Ruo-Pan Huang United States	7	341 1.4×	89 0.6×	54 0.6×	121 1.3×	19 0.3×	9	573
James V. Michael United States	13	320 1.3×	83 0.5×	147 1.5×	140 1.6×	48 0.7×	22	585
Fumi Yanaga Japan	14	398 1.6×	89 0.6×	119 1.2×	26 0.3×	47 0.7×	17	750
Titus Sparna Germany	7	204 0.8×	80 0.5×	48 0.5×	44 0.5×	52 0.7×	8	417
Marta Derecka United States	10	289 1.2×	171 1.1×	67 0.7×	176 2.0×	33 0.5×	16	553
Juliette Berger France	12	237 1.0×	45 0.3×	79 0.8×	59 0.7×	81 1.1×	28	425
Luca A. Petruccelli Canada	7	560 2.3×	63 0.4×	57 0.6×	149 1.7×	57 0.8×	9	690

Countries citing papers authored by Tom Büchse

Since Specialization

Citations

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

Fields of papers citing papers by Tom Büchse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Büchse

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

All Works

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10 of 10 papers shown

Büchse, Tom, Gerald Krystal, Michael Schümann, et al.. (2011). CIN85 Interacting Proteins in B Cells-Specific Role for SHIP-1. Molecular & Cellular Proteomics. 10(10). M110.006239–M110.006239. 24 indexed citations

Schröder, Katrin, Alexandra Aicher, Elisa A. Liehn, et al.. (2009). NADPH Oxidase Nox2 Is Required for Hypoxia-Induced Mobilization of Endothelial Progenitor Cells. Circulation Research. 105(6). 537–544. 92 indexed citations

Brandt, Bettina, Tom Büchse, Markus Tiedge, et al.. (2008). Galectin-1 induced activation of the apoptotic death-receptor pathway in human Jurkat T lymphocytes. Histochemistry and Cell Biology. 129(5). 599–609. 48 indexed citations

Schulze, Christoph, Tom Büchse, Stefan Mikkat, & Thomas Bittorf. (2008). Erythropoietin receptor-mediated Egr-1 activation: Structural requirements and functional implications. Cellular Signalling. 20(10). 1848–1854. 6 indexed citations

Büchse, Tom, et al.. (2005). Phosphoprotein profiling of erythropoietin receptor‐ dependent pathways using different proteomic strategies. PROTEOMICS. 5(1). 91–100. 14 indexed citations

Büchse, Tom, et al.. (2005). Profiling of Early Gene Expression Induced by Erythropoietin Receptor Structural Variants. Journal of Biological Chemistry. 281(12). 7697–7707. 6 indexed citations

Kalesnikoff, Janet, Laura M. Sly, Michael R. Hughes, et al.. (2003). The role of SHIP in cytokine-induced signaling. Reviews of physiology, biochemistry and pharmacology. 149. 87–103. 80 indexed citations

Sly, Laura M., Michael J. Rauh, Janet Kalesnikoff, Tom Büchse, & Gerald Krystal. (2003). SHIP, SHIP2, and PTEN activities are regulated in vivo by modulation of their protein levels: SHIP is up-regulated in macrophages and mast cells by lipopolysaccharide. Experimental Hematology. 31(12). 1170–1181. 84 indexed citations

Bittorf, Thomas, et al.. (2001). Activation of the transcription factor NF-κB by the erythropoietin receptor. Cellular Signalling. 13(9). 673–681. 62 indexed citations

10.

Bittorf, Thomas, et al.. (2000). Activation of STAT5 during EPO-directed suppression of apoptosis. Cellular Signalling. 12(1). 23–30. 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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