JJ Rossi

510 total citations
10 papers, 419 citations indexed

About

JJ Rossi is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, JJ Rossi has authored 10 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Hematology and 4 papers in Genetics. Recurrent topics in JJ Rossi's work include Chronic Myeloid Leukemia Treatments (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Acute Lymphoblastic Leukemia research (4 papers). JJ Rossi is often cited by papers focused on Chronic Myeloid Leukemia Treatments (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Acute Lymphoblastic Leukemia research (4 papers). JJ Rossi collaborates with scholars based in United States and Canada. JJ Rossi's co-authors include DS Snyder, Nava Sarver, Rosario Castro, KG Blume, W. Lange, Yaping Wu, Yiming Wu, Jaw‐Lin Wang, R. McMahon and Stephen J. Forman and has published in prestigious journals such as Blood, Trends in biotechnology and Gene Therapy.

In The Last Decade

JJ Rossi

10 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
JJ Rossi United States	7	266	136	74	45	39	10	419
Deborah Atkinson United Kingdom	6	185 0.7×	139 1.0×	68 0.9×	27 0.6×	14 0.4×	6	332
Monica Cusan Germany	10	498 1.9×	415 3.1×	71 1.0×	54 1.2×	50 1.3×	17	690
S Gisselbrecht France	12	228 0.9×	201 1.5×	83 1.1×	70 1.6×	123 3.2×	22	523
Richard Hildreth United States	6	587 2.2×	129 0.9×	58 0.8×	40 0.9×	41 1.1×	11	807
Frederick J. Bollum United States	10	150 0.6×	98 0.7×	73 1.0×	66 1.5×	37 0.9×	14	371
Lloyd Cairns United States	7	147 0.6×	78 0.6×	27 0.4×	24 0.5×	47 1.2×	13	403
Qingqin Hao China	9	199 0.7×	47 0.3×	25 0.3×	57 1.3×	65 1.7×	12	353
Erik W. Martin United States	11	124 0.5×	72 0.5×	23 0.3×	37 0.8×	39 1.0×	16	323
HP Kiem United States	13	313 1.2×	106 0.8×	52 0.7×	122 2.7×	307 7.9×	23	495
Dona N. Ho Hong Kong	13	247 0.9×	87 0.6×	41 0.6×	137 3.0×	85 2.2×	18	485

Countries citing papers authored by JJ Rossi

Since Specialization

Citations

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

Fields of papers citing papers by JJ Rossi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of JJ Rossi

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

All Works

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10 of 10 papers shown

1.

Gatignol, Anne, et al.. (2014). Competition between HIV-1-encoded RRE RNA and miRNA-TRBP interactions alters RNA interference activity and gene expression. BMC Infectious Diseases. 14(S2). 2 indexed citations

2.

Cordelier, Pierre, Chih‐Yuan Ko, JJ Rossi, et al.. (2004). Protecting from R5-tropic HIV: individual and combined effectiveness of a hammerhead ribozyme and a single-chain Fv antibody that targets CCR5. Gene Therapy. 11(22). 1627–1637. 25 indexed citations

3.

Wu, Yiming, Lei Yu, R. McMahon, et al.. (1999). Inhibition of bcr-abl Oncogene Expression by Novel Deoxyribozymes (DNAzymes). Human Gene Therapy. 10(17). 2847–2857. 99 indexed citations

4.

Heidenreich, Olaf, et al.. (1996). Correlation of Activity with Stability of Chemically Modified Ribozymes in Nuclei Suspension. Antisense and Nucleic Acid Drug Development. 6(2). 111–118. 15 indexed citations

5.

Konopka, Krystyna, JJ Rossi, Philip L. Felgner, & Nejat Düzgüneş. (1995). Cationic liposome-mediated delivery of anti-HIV-1 ribozyme to chronically infected cells. Antiviral Research. 26(3). A266–A266. 2 indexed citations

6.

Snyder, DS, et al.. (1993). Ribozyme-mediated inhibition of bcr-abl gene expression in a Philadelphia chromosome-positive cell line. Blood. 82(2). 600–605. 116 indexed citations

7.

Snyder, DS, et al.. (1993). Ribozyme-mediated inhibition of bcr-abl gene expression in a Philadelphia chromosome-positive cell line. Blood. 82(2). 600–605. 4 indexed citations

8.

Rossi, JJ & Nava Sarver. (1990). RNA enzymes (ribozymes) as antiviral therapeutic agents. Trends in biotechnology. 8(7). 179–183. 51 indexed citations

9.

Lange, W., et al.. (1989). Detection by enzymatic amplification of bcr-abl mRNA in peripheral blood and bone marrow cells of patients with chronic myelogenous leukemia. Blood. 73(6). 1735–1741. 65 indexed citations

10.

Lange, W., et al.. (1989). Detection by enzymatic amplification of bcr-abl mRNA in peripheral blood and bone marrow cells of patients with chronic myelogenous leukemia. Blood. 73(6). 1735–1741. 40 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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