Vanessa Houck

698 total citations
3 papers, 8 citations indexed

About

Vanessa Houck is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Vanessa Houck has authored 3 papers receiving a total of 8 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Hematology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Vanessa Houck's work include Multiple Myeloma Research and Treatments (3 papers), Cancer Treatment and Pharmacology (2 papers) and Cancer therapeutics and mechanisms (1 paper). Vanessa Houck is often cited by papers focused on Multiple Myeloma Research and Treatments (3 papers), Cancer Treatment and Pharmacology (2 papers) and Cancer therapeutics and mechanisms (1 paper). Vanessa Houck collaborates with scholars based in United Kingdom, United States and Italy. Vanessa Houck's co-authors include Kevin Song, Cyrille Hulin, Andrew R. Belch, Chaim Shustik, Serge Leyvraz, Charles Zarnitsky, Annette Ervin‐Haynes, Shaker R. Dakhil, Margaret Macro and Laurent Garderet and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Clinical Lymphoma Myeloma & Leukemia.

In The Last Decade

Vanessa Houck

3 papers receiving 8 citations

Peers

Vanessa Houck
Stojan Zavisic United States
Marc Robert de Massy United Kingdom
Sidra Ellis United Kingdom
Sarah Vidito United States
Cody J. Boehner United States
August Williams United States
Sheila Soh Singapore
Jayant Kumar United States
Stojan Zavisic United States
Vanessa Houck
Citations per year, relative to Vanessa Houck Vanessa Houck (= 1×) peers Stojan Zavisic

Countries citing papers authored by Vanessa Houck

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Houck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanessa Houck

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

All Works

3 of 3 papers shown
1.
Hulin, Cyrille, Chaim Shustik, Andrew Belch, et al.. (2015). Continuous Treatment With Lenalidomide and Low-Dose Dexamethasone for Patients With Transplant-Ineligible Newly Diagnosed Multiple Myeloma in the First Trial: Impact of Age. Clinical Lymphoma Myeloma & Leukemia. 15. e130–e131. 2 indexed citations
2.
Delforge, Michel, Leonard Minuk, Jean‐Claude Eisenmann, et al.. (2014). Health-related quality of life (HRQOL) in transplant-ineligible patients (pts) with newly diagnosed multiple myeloma (NDMM): Results from the first trial.. Journal of Clinical Oncology. 32(15_suppl). 8516–8516. 3 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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