Y.-D. Halvorsen

898 total citations · 1 hit paper
7 papers, 710 citations indexed

About

Y.-D. Halvorsen is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Y.-D. Halvorsen has authored 7 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 3 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Y.-D. Halvorsen's work include Oral health in cancer treatment (2 papers), Adipose Tissue and Metabolism (2 papers) and Chemical Synthesis and Analysis (1 paper). Y.-D. Halvorsen is often cited by papers focused on Oral health in cancer treatment (2 papers), Adipose Tissue and Metabolism (2 papers) and Chemical Synthesis and Analysis (1 paper). Y.-D. Halvorsen collaborates with scholars based in United States and United Kingdom. Y.-D. Halvorsen's co-authors include Sandra J. Foster, Blythe H. Devlin, K. C. Hicok, Abhik Sen, J. M. Gimble, Cissy Geigerman, Y. Reneé Lea-Currie, M. K. McIntosh, J. Mark Brown and M Brittis and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Journal of Nutrition.

In The Last Decade

Y.-D. Halvorsen

7 papers receiving 671 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.

Yield of human adipose-derived adult stem cells from liposuction aspirates

2004 544 citations Blythe H. Devlin, Sandra J. Foster et al. Cytotherapy profile →

Peers

Y.-D. Halvorsen

GENET

SURGE

MB

BIOMA

PHYSI

Rina Andriamanalijaona France

Stéphane Boeuf Germany

Stefan Jaworski Poland

Elena Olivi Italy

Sudheer Ravuri United States

Kelly A. Kimmerling United States

Janja Zupan Slovenia

Anna Burdzińska Poland

Cármen Lúcia Kuniyoshi Rebelatto Brazil

Junrong Cai China

Rina Andriamanalijaona France

Y.-D. Halvorsen

271 ×0.6

GENET

178 ×0.6

SURGE

234 ×1.3

MB

59 ×0.5

BIOMA

46 ×0.4

PHYSI

Citations per year, relative to Y.-D. Halvorsen Y.-D. Halvorsen (= 1×) peers Rina Andriamanalijaona

Countries citing papers authored by Y.-D. Halvorsen

Since Specialization

Citations

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

Fields of papers citing papers by Y.-D. Halvorsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y.-D. Halvorsen. 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 Y.-D. Halvorsen. The network helps show where Y.-D. Halvorsen may publish in the future.

Co-authorship network of co-authors of Y.-D. Halvorsen

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

All Works

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7 of 7 papers shown

1.

Hawthorne, Thomas, Loïc Giot, Lauren E. Blake, et al.. (2008). A Phase I study of CR002, a fully-human monoclonal antibody against platelet-derived growth factor-D. International Journal of Clinical Pharmacology and Therapeutics. 46(5). 236–244. 25 indexed citations

2.

Sznol, Mario, David S. Sanders, A. Y. Bedikian, et al.. (2007). A phase I and pharmacokinetic study of CR011-vcMMAE, an antibody toxin conjugate drug, in patients with unresectable stage III /IV melanoma. Molecular Cancer Therapeutics. 6. 3 indexed citations

3.

Schuster, Michael W., et al.. (2005). Phase I trial of CG53135-05 to prevent mucositis in patients undergoing high-dose chemotherapy (HDCT) and autologous peripheral blood stem cell transplantation (PBSCT). Biology of Blood and Marrow Transplantation. 11(2). 91–91. 1 indexed citations

4.

Schuster, Michael W., et al.. (2005). Phase I trial of CG53135–05 to prevent mucositis in patients undergoing high-dose chemotherapy (HDCT) and autologous peripheral blood stem cell transplantation (PBSCT). Journal of Clinical Oncology. 23(16_suppl). 6656–6656. 1 indexed citations

5.

Devlin, Blythe H., Sandra J. Foster, Y.-D. Halvorsen, et al.. (2004). Yield of human adipose-derived adult stem cells from liposuction aspirates. Cytotherapy. 6(1). 7–14. 544 indexed citations breakdown →

6.

Brown, J. Mark, Y.-D. Halvorsen, Y. Reneé Lea-Currie, Cissy Geigerman, & M. K. McIntosh. (2001). Trans-10, Cis-12, But Not Cis-9, Trans-11, Conjugated Linoleic Acid Attenuates Lipogenesis in Primary Cultures of Stromal Vascular Cells from Human Adipose Tissue. Journal of Nutrition. 131(9). 2316–2321. 121 indexed citations

7.

Halvorsen, Y.-D., Sven–Erik Bursell, W. O. Wilkison, et al.. (1993). Vasodilation of rat retinal microvessels induced by monobutyrin. Dysregulation in diabetes.. Journal of Clinical Investigation. 92(6). 2872–2876. 15 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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