T. Anitha

40 total papers · 1.5k total citations
26 papers, 753 citations indexed

About

T. Anitha is a scholar working on Plant Science, Molecular Biology and Complementary and alternative medicine. According to data from OpenAlex, T. Anitha has authored 26 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 7 papers in Molecular Biology and 7 papers in Complementary and alternative medicine. Recurrent topics in T. Anitha's work include Medicinal Plants and Neuroprotection (3 papers), Phytochemicals and Medicinal Plants (3 papers) and Polysaccharides and Plant Cell Walls (3 papers). T. Anitha is often cited by papers focused on Medicinal Plants and Neuroprotection (3 papers), Phytochemicals and Medicinal Plants (3 papers) and Polysaccharides and Plant Cell Walls (3 papers). T. Anitha collaborates with scholars based in India, Ethiopia and Poland. T. Anitha's co-authors include Sangram Dhumal, Manoj Kumar, Ryszard Amarowicz, Maharishi Tomar, Sneh Punia, Radha CHAUHAN, R. Pandiselvam, Marisennayya Senapathy, Surinder Singh and Annadurai Thangaraj and has published in prestigious journals such as Food Chemistry, Carbohydrate Polymers and Food Hydrocolloids.

In The Last Decade

T. Anitha

25 papers receiving 727 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
T. Anitha	288	288	148	117	107	26	753
Lirong Jia	380 1.3×	366 1.3×	196 1.3×	125 1.1×	99 0.9×	19	822
Vanesa Gesser Corrêa	271 0.9×	275 1.0×	102 0.7×	103 0.9×	217 2.0×	27	805
You Luo	290 1.0×	235 0.8×	139 0.9×	131 1.1×	177 1.7×	26	735
Tahra Elobeid	284 1.0×	165 0.6×	156 1.1×	117 1.0×	103 1.0×	54	864
Mohammed Sharif Swallah	241 0.8×	155 0.5×	136 0.9×	180 1.5×	101 0.9×	22	632
Hongkun Xue	318 1.1×	412 1.4×	205 1.4×	155 1.3×	221 2.1×	31	888
Izabela Pawlaczyk	185 0.6×	312 1.1×	154 1.0×	65 0.6×	162 1.5×	21	658
Yong Liu	227 0.8×	192 0.7×	207 1.4×	86 0.7×	213 2.0×	33	734
Chemseddoha Gadhi	251 0.9×	236 0.8×	123 0.8×	90 0.8×	124 1.2×	33	668
Fatiha Bedjou	276 1.0×	218 0.8×	214 1.4×	49 0.4×	134 1.3×	36	642

Countries citing papers authored by T. Anitha

Since Specialization

Citations

This map shows the geographic impact of T. Anitha'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 T. Anitha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Anitha more than expected).

Fields of papers citing papers by T. Anitha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Anitha

This figure shows the co-authorship network connecting the top 25 collaborators of T. Anitha. A scholar is included among the top collaborators of T. Anitha 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 T. Anitha. T. Anitha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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