Sandro Rusconi

7.5k citations
48 papers · 6.2k indexed · 3 hit papers · h-index 33

Impact in

  • Genetics top 0.5%
    • Estrogen and related hormone effects
    • Virus-based gene therapy research
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • RNA Interference and Gene Delivery
    • CRISPR and Genetic Engineering

Papers in

    • Estrogen and related hormone effects 13
    • Virus-based gene therapy research 5

Sandro Rusconi

48 papers receiving 6.0k citations

Hit Papers

Transcriptional Activation Modulated by Homopolymeric Glutamine and Proline Stretches 1994 · 510 citations
51019812026199620114008001.2k

Peers

Sandro Rusconi
Comparison fields: 5 of 121
  • Genetics 2.2k
  • Molecular Biology 4.0k
  • Behavioral Neuroscience 178
  • Endocrinology, Diabetes and Metabolism 781
  • Immunology 828
Replace Abraham Amsterdam with:
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Sandro Rusconi relative to Abraham Amsterdam Israel Abraham Amsterdam's profile →
Citations per field
00.5×1.5×
Abraham Amsterdam · 1×
Citations per year

Countries citing papers authored by Sandro Rusconi

Since Specialization
Citations

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

Fields of papers citing papers by Sandro Rusconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sandro Rusconi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sandro Rusconi Line = papers co-authored together Sandro Rusconi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201554
2 2008110
3 200487
4 20023
5 200138
6 200136
7 200168
8 199826
9 199539
10 199428
11 19948
12 199447
13 199390
14 199313
15 199356
16 199112
17 19901
18 19909
19 1989122
20 198260

About Sandro Rusconi

Sandro Rusconi is a scholar working on Aging, Genetics, Immunology, Molecular Biology and Endocrine and Autonomic Systems, having authored 48 papers that have together received 6.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (13 papers), Virus-based gene therapy research (5 papers), Hormonal Regulation and Hypertension (5 papers), Genomics and Chromatin Dynamics (5 papers), Receptor Mechanisms and Signaling (5 papers), RNA Interference and Gene Delivery (4 papers), T-cell and B-cell Immunology (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Genetics (2.2k citations), Molecular Biology (4.0k citations), Behavioral Neuroscience (178 citations), Endocrinology, Diabetes and Metabolism (781 citations) and Immunology (828 citations). Sandro Rusconi has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Walter Schaffner, Julian Banerji, Keith R. Yamamoto, Roger L. Miesfeld, Paul J. Godowski, W. Schaffner, Georges Köhler, Stefan Wieland, Oleg Georgiev and Martin J. Hug. Their work appears in journals such as The EMBO Journal, Nucleic Acids Research, BioTechniques, Nature and Cell.

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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