Jakob Troppmair

9.9k total citations · 1 hit paper
157 papers, 7.9k citations indexed

About

Jakob Troppmair is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Jakob Troppmair has authored 157 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 22 papers in Immunology and 20 papers in Surgery. Recurrent topics in Jakob Troppmair's work include Melanoma and MAPK Pathways (39 papers), Protein Kinase Regulation and GTPase Signaling (21 papers) and Cell death mechanisms and regulation (18 papers). Jakob Troppmair is often cited by papers focused on Melanoma and MAPK Pathways (39 papers), Protein Kinase Regulation and GTPase Signaling (21 papers) and Cell death mechanisms and regulation (18 papers). Jakob Troppmair collaborates with scholars based in Austria, Germany and United States. Jakob Troppmair's co-authors include Ulf R. Rapp, Anton Amann, Andreas Sponring, Wojciech Filipiak, Clemens Ager, C Huber, Dietger Niederwieser, Arno Hausen, H. Wächter and Dietmar Fuchs and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Jakob Troppmair

155 papers receiving 7.7k citations

Hit Papers

align trajectories

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.

Immune response-associated production of neopterin. Release from macrophages primarily under control of interferon-gamma.

1984 905 citations C Huber, Dietger Niederwieser et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jakob Troppmair Austria	50	4.4k	1.3k	1.0k	973	705	157	7.9k
Bob van de Water Netherlands	48	4.7k 1.1×	618 0.5×	1.5k 1.5×	709 0.7×	1.3k 1.8×	224	8.2k
Kwon‐Soo Ha South Korea	52	4.7k 1.1×	685 0.5×	543 0.5×	1.2k 1.2×	947 1.3×	289	9.4k
Jun‐ichi Abe United States	58	5.6k 1.3×	481 0.4×	978 1.0×	1.6k 1.6×	833 1.2×	236	10.5k
Shazib Pervaiz Singapore	58	5.9k 1.3×	587 0.5×	1.3k 1.3×	1.0k 1.0×	1.5k 2.1×	176	9.9k
Wenlin Huang China	46	3.9k 0.9×	354 0.3×	975 1.0×	967 1.0×	1.7k 2.4×	168	6.9k
Yong‐Yeon Cho South Korea	54	5.1k 1.2×	339 0.3×	1.5k 1.5×	830 0.9×	1.0k 1.5×	268	8.6k
Agapios Sachinidis Germany	47	4.2k 1.0×	684 0.5×	610 0.6×	626 0.6×	697 1.0×	275	7.5k
P F Blackmore United States	59	5.2k 1.2×	1.2k 0.9×	627 0.6×	517 0.5×	326 0.5×	157	10.9k
Mohit Jain United States	46	5.5k 1.2×	307 0.2×	600 0.6×	577 0.6×	1.3k 1.8×	149	8.5k
Rong‐Fong Shen United States	36	5.2k 1.2×	296 0.2×	450 0.4×	566 0.6×	1.1k 1.5×	96	7.0k

Countries citing papers authored by Jakob Troppmair

Since Specialization

Citations

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

Fields of papers citing papers by Jakob Troppmair

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakob Troppmair

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

Kammerer, Sarah, Monica L. Fernández‐Quintero, Johannes R. Loeffler, et al.. (2023). Establishing a cell-based screening workflow for determining the efficiency of CYP2C9 metabolism: moving towards the use of breath volatiles in personalised medicine. Journal of Breath Research. 17(4). 46001–46001. 2 indexed citations

Farimani, Mahdi Moridi, Yaghoub Sarrafi, Samad Nejad Ebrahimi, et al.. (2022). New Sesterterpenoids from Salvia mirzayanii Rech.f. and Esfand. Stereochemical Characterization by Computational Electronic Circular Dichroism. Frontiers in Chemistry. 9. 783292–783292. 3 indexed citations

Kronberger, Irmgard, Patrizia Moser, Hans Maier, et al.. (2021). Distal Pancreatic Resection with Splenectomy in the Rat: A Pancreatic Fistula Model to Investigate Postsurgical Damage?. European Surgical Research. 62(2). 97–104. 1 indexed citations

Alilou, Mostafa, Dya Fita Dibwe, Stefan Schwaiger, et al.. (2020). Antiausterity Activity of Secondary Metabolites from the Roots of Ferula hezarlalehzarica against the PANC-1 Human Pancreatic Cancer Cell Line. Journal of Natural Products. 83(4). 1099–1106. 15 indexed citations

Senoner, Thomas, et al.. (2019). Associations of Oxidative Stress and Postoperative Outcome in Liver Surgery with an Outlook to Future Potential Therapeutic Options. Oxidative Medicine and Cellular Longevity. 2019. 1–18. 59 indexed citations

Papadakis, Emmanouil, Alison Yeomans, Stephen A. Beers, et al.. (2016). A combination of trastuzumab and BAG-1 inhibition synergistically targets HER2 positive breast cancer cells. Oncotarget. 7(14). 18851–18864. 11 indexed citations

Hatzl, Stefan, Rotraud Wieser, Martin Pichler, et al.. (2016). Increased Expression of miR-23a Mediates a Loss of Expression in the RAF Kinase Inhibitor Protein RKIP. Cancer Research. 76(12). 3644–3654. 39 indexed citations

Reeves, Thomas, Stefan Schwaiger, Hermann Stuppner, et al.. (2016). The Bag-1 inhibitor, Thio-2, reverses an atypical 3D morphology driven by Bag-1L overexpression in a MCF-10A model of ductal carcinoma in situ. Oncogenesis. 5(4). e215–e215. 4 indexed citations

Papadakis, Emmanouil, M. Salomé Gachet, Martin Deutsch, et al.. (2013). Isolation of a Novel Thioflavin S–Derived Compound That Inhibits BAG-1–Mediated Protein Interactions and Targets BRAF Inhibitor–Resistant Cell Lines. Molecular Cancer Therapeutics. 12(11). 2400–2414. 19 indexed citations

10.

Schneeberger, Stefan, Albert Amberger, Theresa Hautz, et al.. (2010). Cold ischemia contributes to the development of chronic rejection and mitochondrial injury after cardiac transplantation. Transplant International. 23(12). 1282–1292. 18 indexed citations

11.

Goebel, Werner, et al.. (2006). Listeria monocytogenes infection of HeLa cells results in listeriolysinO-mediated transient activation of the Raf-MEK-MAP kinase pathway. FEMS Microbiology Letters. 148(2). 189–195. 13 indexed citations

12.

Faßnacht, Martin, Stefanie Hahner, Immo A. Hansen, et al.. (2003). N-Terminal Proopiomelanocortin Acts as a Mitogen in Adrenocortical Tumor Cells and Decreases Adrenal Steroidogenesis. The Journal of Clinical Endocrinology & Metabolism. 88(5). 2171–2179. 54 indexed citations

13.

Gise, Alexander von, Claudia Wellbrock, Brian A. Hemmings, et al.. (2001). Apoptosis Suppression by Raf-1 and MEK1 Requires MEK- and Phosphatidylinositol 3-Kinase-Dependent Signals. Molecular and Cellular Biology. 21(7). 2324–2336. 155 indexed citations

14.

Troppmair, Jakob, et al.. (1998). Production and Characterization of Monoclonal Antibodies Against Human BAD Protein. Hybridoma. 17(4). 383–387. 4 indexed citations

15.

Erhardt, Péter, Jakob Troppmair, Ulf R. Rapp, & Geoffrey M. Cooper. (1995). Differential Regulation of Raf-1 and B-Raf and Ras-Dependent Activation of Mitogen-Activated Protein Kinase by Cyclic AMP in PC12 Cells. Molecular and Cellular Biology. 15(10). 5524–5530. 125 indexed citations

16.

Troppmair, Jakob, et al.. (1993). Susceptibility and resistance to J3V1 retrovirus-induced murine plasmacytomagenesis in reconstituted severe combined immunodeficient mice.. PubMed. 8(7). 1993–2000. 13 indexed citations

17.

Kölch, Walter, Eva M. Weissinger, Harald Mischak, et al.. (1990). Probing structure and function of the raf protein kinase domain with monoclonal antibodies.. PubMed. 5(5). 713–20. 35 indexed citations

18.

Troppmair, Jakob, Michael Potter, J S Wax, & U R Rapp. (1989). An altered v-raf is required in addition to v-myc in J3V1 virus for acceleration of murine plasmacytomagenesis.. Proceedings of the National Academy of Sciences. 86(24). 9941–9945. 27 indexed citations

19.

Schoedon, Gabriele, Jakob Troppmair, Günther R. Adolf, C Huber, & A. Niederwieser. (1986). Interferon-γ Enhances Biosynthesis of Pterins in Peripheral Blood Mononuclear Cells by Induction of GTP-Cyclohydrolase I Activity. Journal of Interferon Research. 6(6). 697–703. 72 indexed citations

20.

Gastl, Günther, H. Denz, Jakob Troppmair, et al.. (1985). Treatment with Low Dose Human Recombinant Interferon-Alpha-2-ARG Induces Complete Remission in Patients with Hairy Cell Leukemia. Oncology Research and Treatment. 8(3). 143–144. 12 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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