Geppino Falco

5.1k total citations
87 papers, 3.2k citations indexed

About

Geppino Falco is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Geppino Falco has authored 87 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 21 papers in Oncology and 17 papers in Cancer Research. Recurrent topics in Geppino Falco's work include Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (8 papers) and MicroRNA in disease regulation (8 papers). Geppino Falco is often cited by papers focused on Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (8 papers) and MicroRNA in disease regulation (8 papers). Geppino Falco collaborates with scholars based in Italy, United States and United Kingdom. Geppino Falco's co-authors include Minoru S.H. Ko, Carole A. Stagg, Toshio Hamatani, Mark G. Carter, Alexei A. Sharov, Fred E. Indig, Lorenzo Leoncini, Hidenori Akutsu, Dawood B. Dudekula and Vincent VanBuren and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Geppino Falco

83 papers receiving 3.2k citations

Peers

Geppino Falco
Comparison fields: 5 of 134
  • Molecular Biology 2.1k
  • Cancer Research 553
  • Oncology 509
  • Public Health, Environmental and Occupational Health 443
  • Immunology 284
Replace Elena Dellambra with:
Elena Dellambra Italy
Marlon R. Schneider Germany
Lucia Manzoli Italy
Kristy Brown United States
Anto De Pol Italy
Xin Fu China
Tamar Tennenbaum Israel
Vikram Prasad United States
Jian‐Jun Xie China
Kelly A. Whelan United States
Elena Dellambra Italy View profile →
Citations per field, relative to Geppino Falco
Geppino Falco · 1×
Citations per year, relative to Geppino Falco
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Countries citing papers authored by Geppino Falco

Since Specialization
Citations

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

Fields of papers citing papers by Geppino Falco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geppino Falco

This figure shows the co-authorship network connecting the top 25 collaborators of Geppino Falco. A scholar is included among the top collaborators of Geppino Falco 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 Geppino Falco. Geppino Falco 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
# Work Indexed citations
1 7
2 16
3 23
4 19
5 14
6 7
7 44
8 33
9 12
10 24
11 14
12 30
13 43
14 32
15 21
16 45
17
MicroRNA expression profile identifies a different signature between MYC translocation-positive and negative Burkitt Lymphoma cases
1
18 11
19 39
20 56

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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