Rita Mark

527 citations
9 papers · 377 indexed · h-index 7

Impact in

Papers in

    • Plant biochemistry and biosynthesis 5
    • Microbial Metabolic Engineering and Bioproduction 3
    • Plant Gene Expression Analysis 3
    • Microbial Metabolism and Applications 1

Rita Mark

9 papers receiving 368 citations

Peers

Rita Mark
Comparison fields: 5 of 71
  • Biochemistry 72
  • Biotechnology 59
  • Food Science 86
  • Pharmacology 64
  • Molecular Biology 217
Replace Mercedes Pérez‐Bonilla with:
Mercedes Pérez‐Bonilla Spain
Huan‐You Lin Taiwan
Haiyan Zhong China
Sandesh J. Marathe India
Sabrina Tozzi Italy
Aleksandra Grudniewska Poland
Qirou Wang China
Isabelle Renimel France
Yoshiko Kurobayashi Japan
Andrés Hurtado-Benavides Colombia
Rita Mark relative to Mercedes Pérez‐Bonilla Spain Mercedes Pérez‐Bonilla's profile →
Citations per field
00.5×1.5×2.1×
Mercedes Pérez‐Bonilla · 1×
Citations per year

Countries citing papers authored by Rita Mark

Since Specialization
Citations

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

Fields of papers citing papers by Rita Mark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Rita Mark, 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 Rita Mark Line = papers co-authored together Rita Mark links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201894
2 201991
3 201776
4 201971
5 201920
6 201812
7 201810
8
Sequential biochemical steps in memory formation evidence from the use of metabolic inhibitors
19792
9 20031

About Rita Mark

Rita Mark is a scholar working on Molecular Biology, Biotechnology, Food Science, Biomedical Engineering and Computational Theory and Mathematics, having authored 9 papers that have together received 377 indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (5 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Plant Gene Expression Analysis (3 papers), Biofuel production and bioconversion (2 papers), Fermentation and Sensory Analysis (2 papers), Computational Drug Discovery Methods (1 paper), Algal biology and biofuel production (1 paper) and Microbial Metabolism and Applications (1 paper). The work is most often cited by research in Biochemistry (72 citations), Biotechnology (59 citations), Food Science (86 citations), Pharmacology (64 citations) and Molecular Biology (217 citations). Rita Mark has collaborated with scholars based in Singapore and Mexico. Frequent co-authors include Wei Ning Chen, Xiaomei Lyu, Kuan Rei Ng, Jaslyn Jie Lin Lee, Roberto Parra‐Saldívar, Guili Zhao, Wuxian Shi, David A. Ostrov, John S. Blanchard and Jadwiga H. Kycia. Their work appears in journals such as Journal of Functional Foods, Journal of Agricultural and Food Chemistry, ACS Omega, Food Chemistry and Journal of the Science of Food and Agriculture.

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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