J Schwaller

449 total citations
10 papers, 378 citations indexed

About

J Schwaller is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, J Schwaller has authored 10 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Pathology and Forensic Medicine and 4 papers in Molecular Biology. Recurrent topics in J Schwaller's work include Cancer-related Molecular Pathways (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Acute Lymphoblastic Leukemia research (3 papers). J Schwaller is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Acute Lymphoblastic Leukemia research (3 papers). J Schwaller collaborates with scholars based in Switzerland, United States and Taiwan. J Schwaller's co-authors include A Tobler, Gisela Niklaus, M.F. Fey, H. Phillip Koeffler, Stefan Nagel, Pius Loetscher, MF Fey, Taku Seriu, Seisho Takeuchi and CR Bartram and has published in prestigious journals such as Journal of Clinical Investigation, Blood and British Journal of Cancer.

In The Last Decade

J Schwaller

9 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J Schwaller Switzerland 8 210 170 90 79 75 10 378
Anna Ferrari Italy 12 272 1.3× 117 0.7× 55 0.6× 124 1.6× 129 1.7× 48 511
Barbara Szymanska Australia 6 306 1.5× 140 0.8× 46 0.5× 77 1.0× 125 1.7× 7 499
Margaret Garson Australia 7 161 0.8× 114 0.7× 34 0.4× 75 0.9× 96 1.3× 9 352
Loucheux-Lefebvre Mh France 6 164 0.8× 190 1.1× 97 1.1× 55 0.7× 212 2.8× 6 403
P Jonveaux France 8 195 0.9× 110 0.6× 56 0.6× 42 0.5× 195 2.6× 10 471
Karishma Bhatia India 6 190 0.9× 228 1.3× 134 1.5× 42 0.5× 22 0.3× 11 410
Bertrand Montpellier France 6 209 1.0× 143 0.8× 144 1.6× 60 0.8× 116 1.5× 9 506
Makoto Futaki Japan 13 325 1.5× 91 0.5× 59 0.7× 107 1.4× 217 2.9× 26 561
Julia Romani Germany 9 181 0.9× 67 0.4× 56 0.6× 49 0.6× 150 2.0× 11 333
Miriam Enos United States 5 300 1.4× 155 0.9× 39 0.4× 40 0.5× 117 1.6× 6 524

Countries citing papers authored by J Schwaller

Since Specialization
Citations

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

Fields of papers citing papers by J Schwaller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Schwaller

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

All Works

10 of 10 papers shown
1.
Keersmaecker, Kim De, Willy Landuyt, Peter Vandenberghe, et al.. (2007). EML1-ABL1 is activated by coiled coil mediated oligomerization and induces T-cell acute lymphoblastic or chronic myeloid leukemia in a mouse bone marrow transplant model. 92. 326–326.
2.
Borisch, Bettina, Sabine Yerly, J Schwaller, et al.. (2003). ALK‐positive anaplastic large‐cell lymphoma: strong T and B anti‐tumour responses may cause hypocellular aspects of lymph nodes mimicking inflammatory lesions. European Journal Of Haematology. 71(4). 243–249. 10 indexed citations
3.
Roos, Jessica, I. Hennig, J Schwaller, et al.. (2001). Expression of <i>TCL1</i> in Hematologic Disorders. Pathobiology. 69(2). 59–66. 13 indexed citations
4.
Schwaller, J, Thomas Pabst, Gisela Niklaus, et al.. (1997). Up-regulation of p21WAF1 expression in myeloid cells is activated by the protein kinase C pathway. British Journal of Cancer. 76(12). 1554–1557. 14 indexed citations
6.
Schwaller, J, M Oestreicher, Dominique Mühlematter, et al.. (1996). Frequent clonal loss of heterozygosity but scarcity of microsatellite instability at chromosomal breakpoint cluster regions in adult leukemias. Blood. 88(3). 1026–1034. 60 indexed citations
7.
Schwaller, J, M Oestreicher, Dominique Mühlematter, et al.. (1996). Frequent clonal loss of heterozygosity but scarcity of microsatellite instability at chromosomal breakpoint cluster regions in adult leukemias. Blood. 88(3). 1026–1034. 7 indexed citations
8.
Schwaller, J, H. Phillip Koeffler, Gisela Niklaus, et al.. (1995). Posttranscriptional stabilization underlies p53-independent induction of p21WAF1/CIP1/SDI1 in differentiating human leukemic cells.. Journal of Clinical Investigation. 95(3). 973–979. 106 indexed citations
9.
Takeuchi, Seisho, CR Bartram, Taku Seriu, et al.. (1995). Analysis of a family of cyclin-dependent kinase inhibitors: p15/MTS2/INK4B, p16/MTS1/INK4A, and p18 genes in acute lymphoblastic leukemia of childhood. Blood. 86(2). 755–760. 129 indexed citations
10.
Schwaller, J, A Tobler, Gisela Niklaus, et al.. (1995). Interleukin-12 expression in human lymphomas and nonneoplastic lymphoid disorders. Blood. 85(8). 2182–2188. 27 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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