August H. Westra

1.1k total citations
11 papers, 774 citations indexed

About

August H. Westra is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, August H. Westra has authored 11 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 4 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in August H. Westra's work include Acute Myeloid Leukemia Research (8 papers), Hematopoietic Stem Cell Transplantation (6 papers) and RNA Interference and Gene Delivery (2 papers). August H. Westra is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Hematopoietic Stem Cell Transplantation (6 papers) and RNA Interference and Gene Delivery (2 papers). August H. Westra collaborates with scholars based in Netherlands and United States. August H. Westra's co-authors include Gert J. Ossenkoppele, Gerrit Jan Schuurhuis, N Feller, Sonja Zweegman, Anna van Rhenen, Angèle Kelder, Marjolein A. van der Pol, Elwin Rombouts, Quinten Waisfisz and Arjan A. van de Loosdrecht and has published in prestigious journals such as Blood, Clinical Cancer Research and Stem Cells.

In The Last Decade

August H. Westra

11 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
August H. Westra Netherlands 9 545 281 211 161 137 11 774
MJ Pébusque France 12 534 1.0× 243 0.9× 127 0.6× 241 1.5× 205 1.5× 19 810
Marina Lafage France 16 446 0.8× 296 1.1× 111 0.5× 137 0.9× 146 1.1× 41 728
Heinz-A. Horst Germany 6 443 0.8× 360 1.3× 163 0.8× 87 0.5× 253 1.8× 6 791
Phoenix A. Ho United States 15 876 1.6× 550 2.0× 259 1.2× 120 0.7× 149 1.1× 29 1.2k
E. Wunder France 11 332 0.6× 147 0.5× 306 1.5× 121 0.8× 98 0.7× 28 696
Kiyotaka Kashima Japan 8 992 1.8× 499 1.8× 132 0.6× 88 0.5× 386 2.8× 14 1.2k
Anna Jankowska United States 15 494 0.9× 390 1.4× 185 0.9× 188 1.2× 324 2.4× 27 939
Oreste Villani Italy 14 397 0.7× 308 1.1× 137 0.6× 68 0.4× 200 1.5× 35 635
Mauro Nanni Italy 16 456 0.8× 402 1.4× 86 0.4× 103 0.6× 294 2.1× 43 804
Bühring Hj Germany 7 281 0.5× 211 0.8× 138 0.7× 158 1.0× 107 0.8× 12 538

Countries citing papers authored by August H. Westra

Since Specialization
Citations

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

Fields of papers citing papers by August H. Westra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by August H. Westra. 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 August H. Westra. The network helps show where August H. Westra may publish in the future.

Co-authorship network of co-authors of August H. Westra

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

All Works

11 of 11 papers shown
1.
Moshaver, Bijan, Marjolein A. van der Pol, August H. Westra, et al.. (2008). Chemotherapeutic treatment of bone marrow stromal cells strongly affects their protective effect on acute myeloid leukemia cell survival. Leukemia & lymphoma. 49(1). 134–148. 19 indexed citations
2.
Moshaver, Bijan, Anna van Rhenen, Angèle Kelder, et al.. (2008). Identification of a Small Subpopulation of Candidate Leukemia-Initiating Cells in the Side Population of Patients with Acute Myeloid Leukemia. Stem Cells. 26(12). 3059–3067. 83 indexed citations
4.
Loosdrecht, Arjan A. van de, Theresia M. Westers, August H. Westra, et al.. (2007). Identification of distinct prognostic subgroups in low- and intermediate-1–risk myelodysplastic syndromes by flow cytometry. Blood. 111(3). 1067–1077. 146 indexed citations
5.
Cillessen, Saskia A.G.M., Chris J.L.M. Meijer, Gert J. Ossenkoppele, et al.. (2006). Human soluble TRAIL/Apo2L induces apoptosis in a subpopulation of chemotherapy refractory nodal diffuse large B‐cell lymphomas, determined by a highly sensitive in vitro apoptosis assay. British Journal of Haematology. 134(3). 283–293. 12 indexed citations
6.
Rhenen, Anna van, N Feller, Angèle Kelder, et al.. (2005). High Stem Cell Frequency in Acute Myeloid Leukemia at Diagnosis Predicts High Minimal Residual Disease and Poor Survival. Clinical Cancer Research. 11(18). 6520–6527. 272 indexed citations
7.
8.
Stijn, Amber van, Alice Kok, N Feller, et al.. (2003). A flow cytometric method to detect apoptosis-related protein expression in minimal residual disease in acute myeloid leukemia. Leukemia. 17(4). 780–786. 22 indexed citations
9.
Stijn, Amber van, Alice Kok, N Feller, et al.. (2003). Multiparameter flow cytometric quantification of apoptosis-related protein expression. Leukemia. 17(4). 787–788. 7 indexed citations
10.
Ossenkoppele, G.J., G.J. Schuurhuis, Andries R. Jonkhoff, et al.. (1996). High-dose melphalan with re-infusion of unprocessed, G-CFS-primed whole blood is effective and non-toxic therapy in multiple myeloma. European Journal of Cancer. 32(12). 2058–2063. 10 indexed citations
11.
Schweitzer, Christine, C. Ellen van der Schoot, A.M. Dräger, et al.. (1995). Isolation and culture of human bone marrow endothelial cells.. PubMed. 23(1). 41–8. 56 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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