David Basiji

1.4k total citations
11 papers, 1.0k citations indexed

About

David Basiji is a scholar working on Molecular Biology, Biophysics and Immunology. According to data from OpenAlex, David Basiji has authored 11 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Biophysics and 2 papers in Immunology. Recurrent topics in David Basiji's work include Cell Image Analysis Techniques (7 papers), Single-cell and spatial transcriptomics (4 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). David Basiji is often cited by papers focused on Cell Image Analysis Techniques (7 papers), Single-cell and spatial transcriptomics (4 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). David Basiji collaborates with scholars based in United States and Italy. David Basiji's co-authors include William E. Ortyn, Philip Morrissey, Vidya Venkatachalam, Brian E. Hall, David J. Perry, Thaddeus C. George, David H. Lynch, Keith Frost, Thaddeus C. George and Ricardo B. Medeiros and has published in prestigious journals such as Blood, Cancer Research and Journal of Immunological Methods.

In The Last Decade

David Basiji

11 papers receiving 985 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Basiji United States	8	512	320	268	203	88	11	1.0k
William E. Ortyn United States	6	478 0.9×	303 0.9×	251 0.9×	195 1.0×	79 0.9×	7	945
Hellen Ishikawa‐Ankerhold Germany	15	450 0.9×	193 0.6×	176 0.7×	193 1.0×	46 0.5×	50	1.1k
Kangmin He China	18	746 1.5×	211 0.7×	177 0.7×	95 0.5×	43 0.5×	43	1.5k
Felix Bestvater Germany	19	745 1.5×	274 0.9×	199 0.7×	80 0.4×	105 1.2×	43	1.4k
M. Vetterlein Austria	16	383 0.7×	163 0.5×	287 1.1×	81 0.4×	120 1.4×	35	986
Ron A. Hoebe Netherlands	20	849 1.7×	481 1.5×	323 1.2×	69 0.3×	197 2.2×	48	1.7k
Gordon Stamp United Kingdom	16	669 1.3×	313 1.0×	264 1.0×	311 1.5×	120 1.4×	28	1.5k
Paul L. Appleton United Kingdom	21	814 1.6×	150 0.5×	172 0.6×	100 0.5×	111 1.3×	33	1.4k
Mack J. Fulwyler United States	18	551 1.1×	178 0.6×	344 1.3×	194 1.0×	43 0.5×	31	1.2k
Davide Mazza Italy	27	1.8k 3.6×	514 1.6×	126 0.5×	132 0.7×	81 0.9×	75	2.5k

Countries citing papers authored by David Basiji

Since Specialization

Citations

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

Fields of papers citing papers by David Basiji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Basiji

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

All Works

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11 of 11 papers shown

Basiji, David. (2015). Principles of Amnis Imaging Flow Cytometry. Methods in molecular biology. 1389. 13–21. 47 indexed citations

Basiji, David, et al.. (2014). Abstract 3074: Detection and enumeration of circulating tumor cells using imaging flow cytometery. Cancer Research. 74(19_Supplement). 3074–3074. 2 indexed citations

Mirabelli, Peppino, Giulia Scalia, Caterina Pascariello, et al.. (2012). ImageStream promyelocytic leukemia protein immunolocalization: In search of promyelocytic leukemia cells. Cytometry Part A. 81A(3). 232–237. 13 indexed citations

George, Thaddeus C., et al.. (2008). Quantitative image based apoptotic index measurement using multispectral imaging flow cytometry: a comparison with standard photometric methods. APOPTOSIS. 13(8). 1054–1063. 77 indexed citations

Ortyn, William E., David J. Perry, Vidya Venkatachalam, et al.. (2007). Extended depth of field imaging for high speed cell analysis. Cytometry Part A. 71A(4). 215–231. 67 indexed citations

Basiji, David, et al.. (2007). Cellular Image Analysis and Imaging by Flow Cytometry. Clinics in Laboratory Medicine. 27(3). 653–670. 311 indexed citations

Basiji, David. (2007). MULTISPECTRAL IMAGING FLOW CYTOMETRY. 1100–1103. 3 indexed citations

George, Thaddeus C., Stacey L. Fanning, Ricardo B. Medeiros, et al.. (2006). Quantitative measurement of nuclear translocation events using similarity analysis of multispectral cellular images obtained in flow. Journal of Immunological Methods. 311(1-2). 117–129. 206 indexed citations

Ortyn, William E., Brian E. Hall, Thaddeus C. George, et al.. (2006). Sensitivity measurement and compensation in spectral imaging. Cytometry Part A. 69A(8). 852–862. 88 indexed citations

10.

George, Thaddeus C., David Basiji, Brian E. Hall, et al.. (2004). Distinguishing modes of cell death using the ImageStream® multispectral imaging flow cytometer. Cytometry Part A. 59A(2). 237–245. 193 indexed citations

11.

Morrissey, Philip, Thaddeus C. George, David Basiji, et al.. (2004). Cell Classification in Human Peripheral Blood Using the Amnis ImageStream® System.. Blood. 104(11). 3826–3826. 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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