M. M. Padhi

471 total citations
42 papers, 329 citations indexed

About

M. M. Padhi is a scholar working on Complementary and alternative medicine, Plant Science and Pharmacology. According to data from OpenAlex, M. M. Padhi has authored 42 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Complementary and alternative medicine, 13 papers in Plant Science and 10 papers in Pharmacology. Recurrent topics in M. M. Padhi's work include Phytochemicals and Medicinal Plants (21 papers), Ethnobotanical and Medicinal Plants Studies (11 papers) and Natural Antidiabetic Agents Studies (7 papers). M. M. Padhi is often cited by papers focused on Phytochemicals and Medicinal Plants (21 papers), Ethnobotanical and Medicinal Plants Studies (11 papers) and Natural Antidiabetic Agents Studies (7 papers). M. M. Padhi collaborates with scholars based in India and United States. M. M. Padhi's co-authors include G S Lavekar, Shweta Shenoy, Biren Shah, Jaspal Singh Sandhu, M. M. Rao, Ajay Kumar Meena, T.K. Mandal, Rajesh Dabur, Naresh Kumar and Jitendra D. Bhosale and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Ethnopharmacology and The Indian Journal of Pediatrics.

In The Last Decade

M. M. Padhi

36 papers receiving 294 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. M. Padhi India 9 125 124 74 70 51 42 329
Seema Dhankhar India 7 102 0.8× 198 1.6× 64 0.9× 76 1.1× 70 1.4× 11 407
M. D. Kharya India 11 104 0.8× 137 1.1× 51 0.7× 60 0.9× 50 1.0× 29 321
V J Shukla India 9 121 1.0× 130 1.0× 28 0.4× 60 0.9× 59 1.2× 75 316
Manju Bala India 8 208 1.7× 118 1.0× 54 0.7× 96 1.4× 44 0.9× 16 396
Saurabh Singh India 9 53 0.4× 89 0.7× 35 0.5× 57 0.8× 70 1.4× 60 368
Werner Knöß Germany 10 97 0.8× 118 1.0× 65 0.9× 124 1.8× 41 0.8× 32 313
Vinayak Upadhya India 11 83 0.7× 163 1.3× 39 0.5× 97 1.4× 94 1.8× 33 336
Nicole Giese United States 14 113 0.9× 154 1.2× 54 0.7× 91 1.3× 78 1.5× 24 463
S. S. Hebbar India 4 85 0.7× 218 1.8× 32 0.4× 56 0.8× 114 2.2× 6 318
Kulsoom Zahara Pakistan 8 68 0.5× 110 0.9× 28 0.4× 85 1.2× 76 1.5× 16 272

Countries citing papers authored by M. M. Padhi

Since Specialization
Citations

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

Fields of papers citing papers by M. M. Padhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. M. Padhi

This figure shows the co-authorship network connecting the top 25 collaborators of M. M. Padhi. A scholar is included among the top collaborators of M. M. Padhi 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 M. M. Padhi. M. M. Padhi 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
1.
Sharma, Sakshi, et al.. (2020). Review of health-care services for older population in India and possibility of incorporating AYUSH in public health system for geriatric care. AYU (An International Quarterly Journal of Research in Ayurveda). 41(1). 3–3. 4 indexed citations
2.
Singh, Randhir, et al.. (2015). COMPARATIVE PHYTOCHEMICAL STUDY OF HEARTWOOD VERSUS SMALL BRANCHES OF DALBERGIA SISSOO LINN USING HPTLC-UV DETECTION METHOD. World Journal of Pharmaceutical Research. 4(4). 766–778. 1 indexed citations
3.
Padhi, M. M., et al.. (2015). A REVIEW ON THERAPEUTIC POTENTIAL OF POLYHERBAL FORMULATIONS. International Journal of Pharmaceutical Sciences and Drug Research. 211–228. 6 indexed citations
4.
Pant, Pradeep, et al.. (2015). Comparative phytochemical study of root versus small branches ofDesmodium gangeticumusing High Performance Thin Layer Chromatographic UV detection Method. Asian Journal of Research in Chemistry. 8(5). 318–318. 4 indexed citations
5.
Padhi, M. M., et al.. (2015). Comparative phytochemical study of stem bark versus small branches ofAcacia niloticaLinn. using HPTLC-UV detection Method. Asian Journal of Research in Chemistry. 8(4). 278–278. 3 indexed citations
6.
Meena, Jyoti, et al.. (2014). A review on Hiptage benghalensis (Madhavilata) used as an Ayurvedic drug. Asian Journal of Pharmacy and Technology. 4(1). 28–31. 3 indexed citations
7.
Basu, Kaushik, et al.. (2013). Simple, Rapid and Precise Method for Quality Assessment of Different Parts of Aegle marmelos L. used in Indian System of Medicine. Research Journal of Pharmacognosy and Phytochemistry. 5(5). 236–243. 3 indexed citations
8.
Meena, Ajay Kumar, et al.. (2013). HPTLC Profile of Important Indian Spices used in Ayurvedic Formulations. Research Journal of Pharmacognosy and Phytochemistry. 5(4). 188–193. 3 indexed citations
9.
Srivastava, Bhavana, et al.. (2012). Phytochemical, Pharmacological and Therapeutic Potential of Hordeum vulgare Linn. -A Review. Asian Journal of Research in Chemistry. 5(10). 1303–1308. 5 indexed citations
10.
Rao, M. M., et al.. (2012). Remediable Medicinal Plants used for Dysmenorrhea treatment- A short review. Research Journal of Science and Technology. 4(5). 229–234. 2 indexed citations
11.
Pant, Pradeep, et al.. (2012). Simple and Rapid Method for Identification of Curcuma Longa Rhizomes by Physicochemical and HPTLC Fingerprint Analysis. Chemical Science Transactions. 1(3). 709–715. 4 indexed citations
12.
Meena, Ajay Kumar, et al.. (2011). A review of the important chemical constituents and medicinal uses of Vitex genus. 亚洲传统医药. 6(2). 54–60. 46 indexed citations
13.
Mangal, Anupam K, et al.. (2011). Evaluation of Standardization Parameters for Sitopaladi Churna an Ayurvedic Formulation. Asian Journal of Research in Chemistry. 4(12). 1867–1871. 5 indexed citations
14.
Meena, Ajay Kumar, et al.. (2011). Ayurvedic, Phytochemical and Pharmacological profile of Aegle marmeolus (Linn.) Corrae - A Review. Research Journal of Pharmacology and Pharmacodynamics. 3(6). 340–344. 1 indexed citations
15.
Padhi, M. M., et al.. (2010). Comparative Study of Various Plants of Piperaceae Family Commonly Used in Ayurvedic Formulations. Research Journal of Pharmacognosy and Phytochemistry. 2(5). 407–410. 1 indexed citations
16.
Padhi, M. M., et al.. (2010). Effect of Oyster Mushroom on Glycemia, Lipid Profile and Quality of Life in Type 2 Diabetic Patients. 22(2). 50. 30 indexed citations
18.
Padhi, M. M., et al.. (2009). Evaluation and Identification of Meda and Mahameda to Common Substitutes and Adulterants In the Crude Drug Markets of India. Pharmacognosy Journal. 1(1). 1 indexed citations
19.
Padhi, M. M., et al.. (2009). Clinical Evaluation of Kshara sutra Therapy in the management of Bhagandara( Fistula- in-Ano)- A prospective study.. PubMed. 28(3). 29–35. 12 indexed citations
20.
Padhi, M. M., et al.. (2003). Clinical evaluation of nirgundi taila in the management of sandhivata.. PubMed. 23(1). 22–34. 3 indexed citations

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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