John G. Pizzolo

538 total citations
17 papers, 482 citations indexed

About

John G. Pizzolo is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, John G. Pizzolo has authored 17 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in John G. Pizzolo's work include Cancer-related Molecular Pathways (3 papers), Single-cell and spatial transcriptomics (2 papers) and Cancer Research and Treatments (2 papers). John G. Pizzolo is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), Single-cell and spatial transcriptomics (2 papers) and Cancer Research and Treatments (2 papers). John G. Pizzolo collaborates with scholars based in United States, Italy and Egypt. John G. Pizzolo's co-authors include Raffaele D’Amelio, Roberto Nisini, M R Melamed, Myron R. Melamed, David P. Kelsen, Andrea Fattorossi, Herman van Dekken, Victor E. Reuter, Paolo Maria Matricardi and Liang Qiao and has published in prestigious journals such as Cancer, Biochemical and Biophysical Research Communications and The Journal of Pathology.

In The Last Decade

John G. Pizzolo

16 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John G. Pizzolo United States 11 148 93 79 79 65 17 482
Kate Elizabeth Brown United States 7 260 1.8× 70 0.8× 53 0.7× 81 1.0× 135 2.1× 14 606
Carol A. Smith United States 13 94 0.6× 48 0.5× 47 0.6× 79 1.0× 62 1.0× 22 543
A Azón Spain 15 136 0.9× 52 0.6× 59 0.7× 37 0.5× 33 0.5× 39 548
Yoshio Urano Japan 18 410 2.8× 167 1.8× 74 0.9× 36 0.5× 83 1.3× 41 1.0k
Miriam Corti United States 11 251 1.7× 49 0.5× 31 0.4× 170 2.2× 116 1.8× 15 550
Yasuko Yamamura United States 12 364 2.5× 48 0.5× 53 0.7× 58 0.7× 98 1.5× 28 593
C. Bruns Germany 15 411 2.8× 66 0.7× 111 1.4× 56 0.7× 57 0.9× 48 1.1k
Loryn N. Sellner Australia 12 280 1.9× 124 1.3× 48 0.6× 133 1.7× 15 0.2× 18 606
K. Aroni Greece 12 125 0.8× 37 0.4× 73 0.9× 41 0.5× 65 1.0× 45 560
Janice M. Staber United States 16 356 2.4× 174 1.9× 69 0.9× 94 1.2× 138 2.1× 35 946

Countries citing papers authored by John G. Pizzolo

Since Specialization
Citations

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

Fields of papers citing papers by John G. Pizzolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John G. Pizzolo. 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 John G. Pizzolo. The network helps show where John G. Pizzolo may publish in the future.

Co-authorship network of co-authors of John G. Pizzolo

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

All Works

17 of 17 papers shown
1.
Maitta, Robert W., Lucia R. Wolgast, Qing Wang, et al.. (2010). Alpha‐ and beta‐synucleins are new diagnostic tools for acute erythroid leukemia and acute megakaryoblastic leukemia. American Journal of Hematology. 86(2). 230–234. 21 indexed citations
2.
Wiernik, Peter H., Elisabeth Paietta, Olga Goloubeva, et al.. (2004). Phase II study of theophylline in chronic lymphocytic leukemia: a study of the Eastern Cooperative Oncology Group (E4998). Leukemia. 18(10). 1605–1610. 20 indexed citations
3.
Hsieh, Tze-chen, Maria E. Aguero‐Rosenfeld, Joseph Wu, et al.. (1997). Cellular Changes and Induction of Apoptosis in Human Promyelocytic HL-60 Cells Infected with the Agent of Human Granulocytic Ehrlichiosis (HGE). Biochemical and Biophysical Research Communications. 232(2). 298–303. 20 indexed citations
4.
Pizzolo, John G., et al.. (1996). Aberrations of Chromosomes 9 and 17 in Bilharzial Bladder Cancer as Detected by FluorescenceIn SituHybridization. American Journal of Clinical Pathology. 106(2). 234–241. 25 indexed citations
5.
Pizzolo, John G. & Myron R. Melamed. (1996). Third-color CD45 staining of paraformaldehyde-fixed peripheral blood lymphocytes. Cytometry. 23(1). 67–71.
6.
Qiao, Liang, W. Gorczyca, John G. Pizzolo, M R Melamed, & Zbigniew Darżynkiewicz. (1995). Flow cytometric characterization of proliferation-associated nuclear antigen (p105) during the cell cycle in normal lymphocytes and promyelocytic leukemia cells (HL-60).. PubMed. 17(3). 183–8. 1 indexed citations
7.
Qiao, Liang, et al.. (1994). Bivariate flow cytometric analysis of p53 and DNA content in hepatocellular carcinoma.. PubMed. 16(2). 124–30. 5 indexed citations
8.
Qiao, Liang, John G. Pizzolo, & M R Melamed. (1994). Effects of Suramin on Expression of Proliferation-Associated Nuclear Antigens in DU-145 Prostate Carcinoma Cells. Biochemical and Biophysical Research Communications. 201(2). 581–588. 15 indexed citations
9.
Qiao, Liang, John G. Pizzolo, Wojciech Gorczyca, & Myron R. Melamed. (1993). p145 expression during the cell cycle in HL-60 cell line and normal human lymphocytes: Effects of camptothecin, vinblastine, cycloheximide, actinomycin D, retinoic acid and DMSO. Leukemia Research. 17(11). 991–997. 2 indexed citations
11.
Fattorossi, Andrea, et al.. (1992). Lack of specificity in the mechanisms involved in the enhancement of the concanavalin A driven human T lymphocyte stimulation by beta-endorphin: studies on activation marker expression, cell cycle and interleukin release.. PubMed. 5(3). 91–7. 5 indexed citations
12.
Pizzolo, John G., et al.. (1991). Simultaneous detection of fluorescent in situ hybridization and in vivo incorporated brdu in a human bladder tumour. The Journal of Pathology. 164(1). 17–22. 15 indexed citations
13.
Matricardi, Paolo Maria, Roberto Nisini, John G. Pizzolo, & Raffaele D’Amelio. (1990). The use of Phadiatop® in mass‐screening programmes of inhalant allergies: advantages and limitations. Clinical & Experimental Allergy. 20(2). 151–155. 62 indexed citations
14.
Dekken, Herman van, John G. Pizzolo, Victor E. Reuter, & M R Melamed. (1990). Cytogenetic analysis of human solid tumors by in situ hybridization with a set of 12 chromosome-specific DNA probes. Cytogenetic and Genome Research. 54(3-4). 103–107. 83 indexed citations
15.
Pizzolo, John G., et al.. (1990). Targeted cytogenetic analysis of gastric tumors byin situhybridization with a set of chromosome-specific dna probes. Cancer. 66(3). 491–497. 101 indexed citations
16.
Fontana, Luigi, Roberto Perricone, Caterina De Carolis, John G. Pizzolo, & Carlo Umberto Casciani. (1989). Hereditary angioneurotic edema: Clinical and laboratory findings in 58 subjects. La Ricerca in Clinica e in Laboratorio. 19(1). 51–58. 11 indexed citations
17.
Fattorossi, Andrea, Roberto Nisini, John G. Pizzolo, & Raffaele D’Amelio. (1989). New, simple flow cytometry technique to discriminate between internalized and membrane‐bound particles in phagocytosis. Cytometry. 10(3). 320–325. 90 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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