Laura Wisch

1.0k total citations
10 papers, 336 citations indexed

About

Laura Wisch is a scholar working on Immunology, Hematology and Genetics. According to data from OpenAlex, Laura Wisch has authored 10 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Hematology and 3 papers in Genetics. Recurrent topics in Laura Wisch's work include Hematopoietic Stem Cell Transplantation (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Mast cells and histamine (2 papers). Laura Wisch is often cited by papers focused on Hematopoietic Stem Cell Transplantation (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Mast cells and histamine (2 papers). Laura Wisch collaborates with scholars based in United States and United Kingdom. Laura Wisch's co-authors include Jaroslaw P. Maciejewski, John Barrett, Elaine M. Sloand, Neal S. Young, Nancy L. Geller, Alasdair M. Gilfillan, Susan F. Leitman, Aldemar Montero, Ellen S. Vitetta and Charles S. Carter and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Journal of Allergy and Clinical Immunology.

In The Last Decade

Laura Wisch

9 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Wisch United States 6 214 133 69 50 46 10 336
Maria Caterina Rossi Italy 11 277 1.3× 57 0.4× 48 0.7× 68 1.4× 18 0.4× 12 416
Karolin Nowak United Kingdom 7 158 0.7× 35 0.3× 55 0.8× 141 2.8× 37 0.8× 7 324
JE Landegent Netherlands 8 145 0.7× 237 1.8× 68 1.0× 115 2.3× 71 1.5× 12 407
Marie Godar Belgium 7 98 0.5× 90 0.7× 28 0.4× 52 1.0× 14 0.3× 7 306
Archana Brahmandam United States 5 165 0.8× 52 0.4× 20 0.3× 52 1.0× 112 2.4× 6 289
Hajime Yasuda Japan 11 66 0.3× 93 0.7× 111 1.6× 74 1.5× 18 0.4× 55 366
Hitoshi Deguchi Japan 4 148 0.7× 61 0.5× 60 0.9× 70 1.4× 21 0.5× 5 328
Heiko Sic Germany 6 169 0.8× 30 0.2× 38 0.6× 36 0.7× 52 1.1× 6 236
RA Briddell United States 9 133 0.6× 269 2.0× 72 1.0× 61 1.2× 62 1.3× 14 359
Yoshikazu Sudo Japan 10 131 0.6× 224 1.7× 103 1.5× 64 1.3× 21 0.5× 14 369

Countries citing papers authored by Laura Wisch

Since Specialization
Citations

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

Fields of papers citing papers by Laura Wisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Wisch

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Wisch. A scholar is included among the top collaborators of Laura Wisch 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 Laura Wisch. Laura Wisch 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.
Chihara, Dai, Evgeny Arons, Maryalice Stetler‐Stevenson, et al.. (2019). Randomized phase II study of cladribine with simultaneous or delayed rituximab in patients with untreated hairy cell leukemia.. Journal of Clinical Oncology. 37(15_suppl). 7003–7003. 3 indexed citations
2.
Kim, Chul, Nitin Roper, Chuong D. Hoang, et al.. (2018). Local ablative therapy (LAT) for oligoprogressive, EGFR-mutant, non-small cell lung cancer (NSCLC) after treatment with osimertinib.. Journal of Clinical Oncology. 36(15_suppl). e21080–e21080. 5 indexed citations
3.
Chan, Eunice C., Yun Bai, Arnold S. Kirshenbaum, et al.. (2014). Mastocytosis associated with a rare germline KIT K509I mutation displays a well-differentiated mast cell phenotype. Journal of Allergy and Clinical Immunology. 134(1). 178–187.e1. 34 indexed citations
4.
Siegel, Andrea, Kelly D. Stone, Glenn Cruse, et al.. (2013). Diminished allergic disease in patients with STAT3 mutations reveals a role for STAT3 signaling in mast cell degranulation. Journal of Allergy and Clinical Immunology. 132(6). 1388–1396.e3. 98 indexed citations
5.
Xie, Zhihui, Vijayaraj Nagarajan, Daniel E. Sturdevant, et al.. (2013). Genome-wide SNP analysis of the Systemic Capillary Leak Syndrome (Clarkson disease). PubMed. 1(1). e27445–e27445. 24 indexed citations
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Solomon, Scott R., Richard Childs, Aldemar Montero, et al.. (2004). Improved Outcomes for Peripheral Blood Stem Cell Transplantation in Advanced Myelodysplastic Syndrome.. Blood. 104(11). 2304–2304.
9.
Solomon, Scott R., Thao Tran, Charles S. Carter, et al.. (2004). Selective Depletion of Alloreacting CD25+ Cells from Stem Cell Allografts Can Reduce Acute Graft-Versus-Host Disease Following Matched Related Donor Transplantation.. Blood. 104(11). 426–426. 2 indexed citations
10.
Maciejewski, Jaroslaw P., Elaine M. Sloand, Laura Wisch, et al.. (2002). A pilot study of the recombinant soluble human tumour necrosis factor receptor (p75)‐Fc fusion protein in patients with myelodysplastic syndrome. British Journal of Haematology. 117(1). 119–126. 60 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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