Tania Masci

1.9k total citations
28 papers, 1.5k citations indexed

About

Tania Masci is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Tania Masci has authored 28 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 13 papers in Plant Science and 8 papers in Biotechnology. Recurrent topics in Tania Masci's work include Plant biochemistry and biosynthesis (17 papers), Plant Gene Expression Analysis (12 papers) and Biochemical and biochemical processes (8 papers). Tania Masci is often cited by papers focused on Plant biochemistry and biosynthesis (17 papers), Plant Gene Expression Analysis (12 papers) and Biochemical and biochemical processes (8 papers). Tania Masci collaborates with scholars based in Israel, United States and United Kingdom. Tania Masci's co-authors include Alexander Vainstein, Marianna Ovadis, Elena Shklarman, Michal Moyal Ben Zvi, Moran Farhi, Sharoni Shafir, David Weiss, Ben Spitzer‐Rimon, Hagai Abeliovich and Orit Edelbaum and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Plant Cell.

In The Last Decade

Tania Masci

27 papers receiving 1.5k citations

Peers

Tania Masci
Comparison fields: 5 of 65
  • Molecular Biology 1.1k
  • Plant Science 543
  • Ecology, Evolution, Behavior and Systematics 419
  • Biotechnology 197
  • Biochemistry 169
Replace Henryk Flachowsky with:
Henryk Flachowsky Germany
Sı́lvia Coimbra Portugal
Gaurav D. Moghe United States
Iris F. Kappers Netherlands
Thomas R. Hamilton–Kemp United States
Julie Graham United Kingdom
Katrin Luck Germany
Chunxian Chen United States
Ivan Gális Japan
Reza Sohrabi United States
Henryk Flachowsky Germany View profile →
Citations per field, relative to Tania Masci
Tania Masci · 1×
Citations per year, relative to Tania Masci
Tania Masci · 1×

Countries citing papers authored by Tania Masci

Since Specialization
Citations

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

Fields of papers citing papers by Tania Masci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tania Masci

This figure shows the co-authorship network connecting the top 25 collaborators of Tania Masci. A scholar is included among the top collaborators of Tania Masci 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 Tania Masci. Tania Masci 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 0
2 4
3 3
4 2
5 15
6 5
7 7
8 14
9 36
10 33
11 129
12 15
13 66
14 164
15 199
16 46
17 110
18 76
19 74
20 12

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026