Bijan Moshaver

1.4k total citations
20 papers, 743 citations indexed

About

Bijan Moshaver is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Bijan Moshaver has authored 20 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 6 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Bijan Moshaver's work include Acute Myeloid Leukemia Research (11 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Hematopoietic Stem Cell Transplantation (5 papers). Bijan Moshaver is often cited by papers focused on Acute Myeloid Leukemia Research (11 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Hematopoietic Stem Cell Transplantation (5 papers). Bijan Moshaver collaborates with scholars based in Netherlands, United States and Switzerland. Bijan Moshaver's co-authors include Sonja Zweegman, Anna van Rhenen, N Feller, Gerrit Jan Schuurhuis, Gert J. Ossenkoppele, Guus A.M.S. van Dongen, Elwin Rombouts, Angèle Kelder, G.J. Ossenkoppele and Gerrit‐Jan Schuurhuis and has published in prestigious journals such as Blood, Stem Cells and Journal of Immunological Methods.

In The Last Decade

Bijan Moshaver

19 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bijan Moshaver Netherlands 11 437 253 225 210 99 20 743
Fabian Zohren Germany 15 544 1.2× 231 0.9× 274 1.2× 165 0.8× 90 0.9× 35 817
Wendy Ingram United Kingdom 13 608 1.4× 130 0.5× 163 0.7× 345 1.6× 191 1.9× 27 864
F. García‐Sánchez Spain 17 383 0.9× 219 0.9× 218 1.0× 420 2.0× 132 1.3× 119 1000
Stuart J. Ings United Kingdom 15 452 1.0× 149 0.6× 237 1.1× 202 1.0× 146 1.5× 24 695
Andrew G. Evans United States 10 275 0.6× 358 1.4× 276 1.2× 103 0.5× 65 0.7× 36 727
Matthias Zeis Germany 16 368 0.8× 229 0.9× 314 1.4× 634 3.0× 92 0.9× 42 931
Toru Sakura Japan 19 751 1.7× 178 0.7× 195 0.9× 119 0.6× 162 1.6× 70 960
Takeki Mitsui Japan 14 203 0.5× 236 0.9× 113 0.5× 222 1.1× 100 1.0× 60 688
R. Nayar Canada 9 323 0.7× 170 0.7× 178 0.8× 131 0.6× 127 1.3× 14 563
Daichi Inoue Japan 16 482 1.1× 473 1.9× 81 0.4× 115 0.5× 212 2.1× 55 864

Countries citing papers authored by Bijan Moshaver

Since Specialization
Citations

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

Fields of papers citing papers by Bijan Moshaver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bijan Moshaver

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

All Works

20 of 20 papers shown
1.
Bacher, Ulrike, Alicia Rovó, Martin Andres, et al.. (2025). Artificial Intelligence in Haematologic Diagnostics: Current Applications and Future Perspectives. Acta Haematologica. 1–14.
2.
Moshaver, Bijan, Angèle Kelder, Gert J. Ossenkoppele, et al.. (2019). Relationship between CD34/CD38 and side population (SP) defined leukemia stem cell compartments in acute myeloid leukemia. Leukemia Research. 81. 27–34. 12 indexed citations
3.
Moshaver, Bijan, et al.. (2017). Accurate and fast urinalysis in febrile patients by flow cytometry. Infectious Diseases. 49(5). 380–387. 13 indexed citations
4.
Moshaver, Bijan, et al.. (2017). Flow cytometric analysis of viable bacteria in urine samples of febrile patients at the emergency department. Cytometry Part B Clinical Cytometry. 94(5). 845–851. 8 indexed citations
5.
Moshaver, Bijan, et al.. (2016). Fast and accurate prediction of positive and negative urine cultures by flow cytometry. BMC Infectious Diseases. 16(1). 211–211. 32 indexed citations
6.
Preijers, Frank, et al.. (2014). Establishment of harmonization in immunophenotyping: A comparative study of a standardized one-tube lymphocyte-screening panel. Cytometry Part B Clinical Cytometry. 86(6). 418–425. 9 indexed citations
7.
Preijers, Frank, et al.. (2014). Establishment of harmonization in immunophenotyping: A comparative study of a standardized one-tube lymphocyte-screening panel. Cytometry Part B Clinical Cytometry. 86(6). n/a–n/a. 11 indexed citations
8.
Preijers, Frank, Erik Huys, & Bijan Moshaver. (2012). OMIP‐010: A new 10‐color monoclonal antibody panel for polychromatic immunophenotyping of small hematopoietic cell samples. Cytometry Part A. 81A(6). 453–455. 14 indexed citations
9.
Preijers, Frank, et al.. (2011). The new violet laser dye, Krome Orange, allows an optimal polychromatic immunophenotyping based on CD45-KO gating. Journal of Immunological Methods. 372(1-2). 42–51. 7 indexed citations
10.
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
11.
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
12.
13.
Rhenen, Anna van, Bijan Moshaver, Gert J. Ossenkoppele, & Gerrit Jan Schuurhuis. (2007). New approaches for the detection of minimal residual disease in acute myeloid leukemia. Current Hematologic Malignancy Reports. 2(2). 111–118. 5 indexed citations
14.
Rhenen, Anna van, Guus A.M.S. van Dongen, Elwin Rombouts, et al.. (2007). The novel AML stem cell–associated antigen CLL-1 aids in discrimination between normal and leukemic stem cells. Blood. 110(7). 2659–2666. 319 indexed citations
15.
Moshaver, Bijan, Angèle Kelder, Guus Westra, et al.. (2007). Identification of a Small Subpopulation of Candidate Leukemia Initiating Cells within the Side Population (SP) of Patients with Acute Myeloid Leukemia.. Blood. 110(11). 4120–4120. 1 indexed citations
16.
Moshaver, Bijan, Marjolein A. van der Pol, N Feller, et al.. (2006). Acute Myeloid Leukemia Remission Bone Marrow Reveals the Presence of Malignant and Normal Side Population (SP) Stem Cells Whose Frequencies and Ratios Predict Clinical Outcome.. Blood. 108(11). 2314–2314. 1 indexed citations
17.
Moshaver, Bijan, Marjolein A. van der Pol, N Feller, et al.. (2006). Identification of Primitive Subpopulations of Acute Myeloid Leukemia Side Population (SP) Stem Cells Defined by Differentiation Status and Malignant Character.. Blood. 108(11). 2538–2538. 1 indexed citations
18.
Rhenen, Anna van, N Feller, Angèle Kelder, et al.. (2006). In Acute Myeloid Leukemia Both Malignant and Normal Stem Cells Can Be Detected in Remission Bone Marrow.. Blood. 108(11). 2537–2537. 2 indexed citations
19.
Feller, N, et al.. (2003). Assessment of the normal or leukemic nature of CD34+ cells in acute myeloid leukemia with low percentages of CD34 cells.. PubMed. 88(9). 983–93. 30 indexed citations
20.
Mulder, Chris J., et al.. (2000). Refractory coeliac disease: a window between coeliac disease and enteropathy associated T cell lymphoma.. PubMed. 32–7. 32 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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