Janine Schwamb

450 total citations
8 papers, 350 citations indexed

About

Janine Schwamb is a scholar working on Genetics, Immunology and Molecular Biology. According to data from OpenAlex, Janine Schwamb has authored 8 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Janine Schwamb's work include Chronic Lymphocytic Leukemia Research (7 papers), Phagocytosis and Immune Regulation (3 papers) and Sphingolipid Metabolism and Signaling (2 papers). Janine Schwamb is often cited by papers focused on Chronic Lymphocytic Leukemia Research (7 papers), Phagocytosis and Immune Regulation (3 papers) and Sphingolipid Metabolism and Signaling (2 papers). Janine Schwamb collaborates with scholars based in Germany and United States. Janine Schwamb's co-authors include Christian P. Pallasch, Michael Hallek, Clemens‐Martin Wendtner, Alexandra Schulz, Lukas P. Frenzel, Alfred Ultsch, Nadine Kutsch, Joachim L. Schultze, David M. Kofler and Svenja Debey and has published in prestigious journals such as Cell, Blood and International Journal of Cancer.

In The Last Decade

Janine Schwamb

7 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Janine Schwamb Germany	6	162	143	114	90	63	8	350
Václav Šeda Czechia	6	114 0.7×	142 1.0×	172 1.5×	75 0.8×	118 1.9×	6	333
Josephine L. Klitgaard United States	7	178 1.1×	111 0.8×	171 1.5×	133 1.5×	97 1.5×	11	426
Imke Beier Germany	8	165 1.0×	110 0.8×	41 0.4×	112 1.2×	73 1.2×	12	371
Matteo Capaia Italy	12	112 0.7×	185 1.3×	103 0.9×	114 1.3×	80 1.3×	14	384
María J. García‐Barchino Spain	9	237 1.5×	52 0.4×	86 0.8×	290 3.2×	77 1.2×	10	508
Elisa Mandato Italy	8	176 1.1×	108 0.8×	134 1.2×	165 1.8×	136 2.2×	13	390
Nikolaos Ioannou United Kingdom	10	95 0.6×	70 0.5×	72 0.6×	184 2.0×	65 1.0×	22	302
Chelsey A. Raymond United States	4	184 1.1×	123 0.9×	289 2.5×	135 1.5×	185 2.9×	6	476
Jennifer Kimberly Lue United States	11	244 1.5×	94 0.7×	36 0.3×	146 1.6×	170 2.7×	40	435
Kwang Seok Lee Germany	8	221 1.4×	53 0.4×	135 1.2×	62 0.7×	26 0.4×	10	405

Countries citing papers authored by Janine Schwamb

Since Specialization

Citations

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

Fields of papers citing papers by Janine Schwamb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janine Schwamb

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

All Works

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8 of 8 papers shown

Pallasch, Christian P., Ilya Leskov, Christian Braun, et al.. (2014). Sensitizing Protective Tumor Microenvironments to Antibody-Mediated Therapy. Cell. 156(3). 590–602. 130 indexed citations

Schwamb, Janine, Michaël Baumann, Michaela Patz, et al.. (2012). B-cell receptor triggers drug sensitivity of primary CLL cells by controlling glucosylation of ceramides. Blood. 120(19). 3978–3985. 43 indexed citations

Schwamb, Janine, Susanne Brodesser, Reinhild Brinker, et al.. (2011). B-Cell Receptor-Mediated Glucosylceramide Synthesis Protects Primary CLL Cells From Ceramide-Dependent Apoptosis. Blood. 118(21). 1766–1766. 1 indexed citations

Pallasch, Christian P., Lars H. Lindner, Janine Schwamb, et al.. (2010). Erufosine, a novel alkylphosphocholine, induces apoptosis in CLL through a caspase-dependent pathway. Leukemia Research. 34(8). 1064–1069. 22 indexed citations

Frenzel, Lukas P., Rainer Claus, Janine Schwamb, et al.. (2010). Sustained NF‐kappaB activity in chronic lymphocytic leukemia is independent of genetic and epigenetic alterations in the TNFAIP3 (A20) locus. International Journal of Cancer. 128(10). 2495–2500. 26 indexed citations

Pallasch, Christian P., Alexandra Schulz, Nadine Kutsch, et al.. (2008). Overexpression of TOSO in CLL is triggered by B-cell receptor signaling and associated with progressive disease. Blood. 112(10). 4213–4219. 44 indexed citations

Pallasch, Christian P., Alexandra Schulz, Nadine Kutsch, et al.. (2008). Overexpression of TOSO in CLL Is Triggered by B-Cell Receptor Signaling and Associated with Progressive Disease.. Blood. 112(11). 2070–2070.

Pallasch, Christian P., Janine Schwamb, Alexandra Schulz, et al.. (2007). Targeting lipid metabolism by the lipoprotein lipase inhibitor orlistat results in apoptosis of B-cell chronic lymphocytic leukemia cells. Leukemia. 22(3). 585–592. 84 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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