Neal A. Benson

818 total citations
22 papers, 679 citations indexed

About

Neal A. Benson is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Neal A. Benson has authored 22 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Pathology and Forensic Medicine and 5 papers in Oncology. Recurrent topics in Neal A. Benson's work include Single-cell and spatial transcriptomics (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Immune Cell Function and Interaction (3 papers). Neal A. Benson is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Immune Cell Function and Interaction (3 papers). Neal A. Benson collaborates with scholars based in United States, Hungary and Nigeria. Neal A. Benson's co-authors include Raul C. Braylan, Howard S. Kruth, Jan S. Moreb, James R. Zucali, Blanca Ostmark, Raymond L. Hackett, Gregory W. Erdos, Karen J. Byer, Wayne T. McCormack and Saeed R. Khan and has published in prestigious journals such as Cancer, Annals of the New York Academy of Sciences and The Journal of Infectious Diseases.

In The Last Decade

Neal A. Benson

22 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neal A. Benson United States 14 210 206 146 129 123 22 679
M. Mandel Israel 16 172 0.8× 109 0.5× 190 1.3× 94 0.7× 41 0.3× 30 680
Debby Damm United States 6 221 1.1× 172 0.8× 60 0.4× 129 1.0× 51 0.4× 6 838
James Thompson Finland 14 278 1.3× 157 0.8× 35 0.2× 75 0.6× 76 0.6× 32 848
Alessandra Filosa Italy 16 222 1.1× 114 0.6× 109 0.7× 203 1.6× 62 0.5× 72 761
Eunice C. Chan United States 16 223 1.1× 126 0.6× 69 0.5× 96 0.7× 39 0.3× 29 700
Seishi Kyoizumi Japan 9 435 2.1× 197 1.0× 47 0.3× 122 0.9× 81 0.7× 16 1.2k
J H Williams United Kingdom 6 221 1.1× 605 2.9× 45 0.3× 120 0.9× 83 0.7× 11 1.2k
Edmund J. Lovett United States 16 189 0.9× 48 0.2× 74 0.5× 154 1.2× 89 0.7× 35 696
Anastasios D. Papanastasiou Greece 19 315 1.5× 109 0.5× 102 0.7× 150 1.2× 181 1.5× 62 1.0k
S L Perkins United States 19 438 2.1× 81 0.4× 294 2.0× 393 3.0× 55 0.4× 40 1.0k

Countries citing papers authored by Neal A. Benson

Since Specialization
Citations

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

Fields of papers citing papers by Neal A. Benson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neal A. Benson. 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 Neal A. Benson. The network helps show where Neal A. Benson may publish in the future.

Co-authorship network of co-authors of Neal A. Benson

This figure shows the co-authorship network connecting the top 25 collaborators of Neal A. Benson. A scholar is included among the top collaborators of Neal A. Benson 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 Neal A. Benson. Neal A. Benson 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.
Moreb, Jan S., James R. Zucali, Blanca Ostmark, & Neal A. Benson. (2006). Heterogeneity of aldehyde dehydrogenase expression in lung cancer cell lines is revealed by Aldefluor flow cytometry‐based assay. Cytometry Part B Clinical Cytometry. 72B(4). 281–289. 65 indexed citations
2.
Hanel, Rita M., P. Cynda Crawford, Jorge A. Hernández, Neal A. Benson, & Julie K. Levy. (2003). Neutrophil function and plasma opsonic capacity in colostrum-fed and colostrum-deprived neonatal kittens. American Journal of Veterinary Research. 64(5). 538–543. 11 indexed citations
3.
Murphy, Tanya K., Neal A. Benson, Mark Yang, et al.. (2001). Progress toward analysis of D8/17 binding to B cells in children with obsessive compulsive disorder and/or chronic tic disorder. Journal of Neuroimmunology. 120(1-2). 146–151. 33 indexed citations
4.
Koenig, Joyce M., Benjamin G. Luttge, Neal A. Benson, & Robert D. Christensen. (2001). Cell cycle status of CD34+ cells in human fetal bone marrow. Early Human Development. 65(2). 159–163. 7 indexed citations
5.
Crawford, P.C., et al.. (2001). Tissue Dynamics of CD8 Lymphocytes That Suppress Viral Replication in Cats Infected Neonatally with Feline Immunodeficiency Virus. The Journal of Infectious Diseases. 184(6). 671–681. 13 indexed citations
6.
Koenig, Joyce M., et al.. (1999). L-Selectin Expression Enhances Clonogenesis of CD34+ Cord Blood Progenitors. Pediatric Research. 45(6). 867–870. 26 indexed citations
7.
Khan, Saeed R., Karen J. Byer, Raymond L. Hackett, et al.. (1999). Crystal-cell interaction and apoptosis in oxalate-associated injury of renal epithelial cells.. PubMed. 10 Suppl 14. S457–63. 120 indexed citations
8.
Johnson, Calvin M., et al.. (1996). Apoptosis and CD4+ Lymphocyte Depletion Following Feline Immunodeficiency Virus Infection of a T-lymphocyte Cell Line. Veterinary Pathology. 33(2). 195–203. 22 indexed citations
9.
Benson, Neal A. & Raul C. Braylan. (1994). Evaluation of sensitivity in DNA aneuploidy detection using a mathematical model. Cytometry. 15(1). 53–58. 14 indexed citations
10.
Braylan, Raul C., Neal A. Benson, & Jose Iturraspe. (1993). Analysis of Lymphomas by Flow Cytometry Current and Emerging Strategies. Annals of the New York Academy of Sciences. 677(1). 364–378. 18 indexed citations
11.
Fu, LiMin, Mark C. K. Yang, Raul C. Braylan, & Neal A. Benson. (1993). Real-time adaptive clustering of flow cytometric data. Pattern Recognition. 26(2). 365–373. 16 indexed citations
12.
Benson, Neal A., et al.. (1991). Effect of Methotrexate on Cell Cycle and DNA Synthesis of Astrocytes in Primary Culture: Flow Cytometric Studies. Journal of Neuropathology & Experimental Neurology. 50(1). 63–72. 12 indexed citations
13.
Almasri, Nidal M., et al.. (1991). Flow Cytometric Analysis of Terminal Deoxynucleotidyl Transferase. American Journal of Clinical Pathology. 95(3). 376–380. 11 indexed citations
14.
Braylan, Raul C. & Neal A. Benson. (1988). Cell surface markers and cell cycle analysis of lymphomas. Cytometry. 9(S3). 73–77. 4 indexed citations
15.
Benson, Neal A., et al.. (1987). Flow cytometric analysis of DNA in cells obtained from deparaffinized formalin‐fixed lymphoid tissues. Cytometry. 8(5). 474–478. 31 indexed citations
16.
Spanier, Suzanne S., et al.. (1987). Flow cytometric analysis of DNA in bone and soft-tissue tumors using nuclear suspensions. Cancer. 59(11). 1951–1958. 59 indexed citations
17.
Braylan, Raul C., et al.. (1984). Cellular DNA of human neoplastic B-cells measured by flow cytometry.. PubMed. 44(11). 5010–6. 62 indexed citations
18.
Scornik, Juan C., et al.. (1983). Distinctive expression of the T4 antigen in normal and stimulated lymphocytes. Cellular Immunology. 76(1). 171–188. 3 indexed citations
19.
Braylan, Raul C., et al.. (1982). Correlated analysis of cellular DNA, membrane antigens and light scatter of human lymphoid cells. Cytometry. 2(5). 337–343. 110 indexed citations
20.
Benson, Neal A., et al.. (1980). Collodion membrane secures cells sorted by flow cytofluorometry onto microscope slides. Cytometry. 1(1). 84–86. 5 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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