Mariam Gaid

692 citations
30 papers · 556 · h-index 16

Impact in

    • Biochemical and biochemical processes
    • Natural Compound Pharmacology Studies
    • Polysaccharides and Plant Cell Walls

Papers in

    • Plant Gene Expression Analysis 13
    • Plant biochemistry and biosynthesis 12
    • Plant tissue culture and regeneration 7
    • Natural Compound Pharmacology Studies 10
    • Plant Molecular Biology Research 4

Mariam Gaid

30 papers receiving 543 citations

Peers

Mariam Gaid
Comparison fields: 5 of 65
  • Biotechnology 75
  • Plant Science 316
  • Biochemistry 49
  • Molecular Biology 345
  • Pharmacology 62
Replace César A. Puente-Garza with:
César A. Puente-Garza Mexico
Claudia A. Espinosa-Leal Mexico
Heriberto Vidal‐Limon Spain
Maheshwar Prasad Sharma India
Andrea Furtado Macedo Brazil
Kerry L. Ringer United States
Małgorzata Kikowska Poland
Nikolaοs Tsafantakis Greece
G. J. Sharma India
Goro Yabuta Japan
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Citations per field
00.5×10×15×21×
César A. Puente-Garza · 1×
Citations per year

Countries citing papers authored by Mariam Gaid

Since Specialization
Citations

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

Fields of papers citing papers by Mariam Gaid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mariam Gaid, 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 Mariam Gaid Line = papers co-authored together Mariam Gaid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201255
2 201744
3 201132
4 201531
5 201529
6 201127
7 201727
8 201626
9 201624
10 201524
11 200923
12 201821
13 201820
14 201719
15 201218
16 201917
17 202115
18 201815
19 201613
20 201812

About Mariam Gaid

Mariam Gaid is a scholar working on Molecular Biology, Plant Science, Biotechnology, Cell Biology and Food Science, having authored 30 papers that have together received 556 indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (13 papers), Plant biochemistry and biosynthesis (12 papers), Natural Compound Pharmacology Studies (10 papers), Plant tissue culture and regeneration (7 papers), Biochemical and biochemical processes (6 papers), Plant Molecular Biology Research (4 papers), Plant Pathogens and Fungal Diseases (3 papers) and Fermentation and Sensory Analysis (3 papers). The work is most often cited by research in Biotechnology (75 citations), Plant Science (316 citations), Biochemistry (49 citations), Molecular Biology (345 citations) and Pharmacology (62 citations). Mariam Gaid has collaborated with scholars based in Germany, India and Kazakhstan. Frequent co-authors include Ludger Beerhues, Till Beuerle, Robert Hänsch, Debabrata Sircar, Benye Liu, Shashank Sagar Saini, Asma K. Belkheir, Andreas Müller, Ludger Ernst and Paul Haas. Their work appears in journals such as PLANT PHYSIOLOGY, European Journal of Pharmaceutics and Biopharmaceutics, Journal of Plant Physiology, The Plant Journal and New Phytologist.

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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