S.H. Mishra

1.3k citations
38 papers · 1.0k indexed · h-index 20

S.H. Mishra

38 papers receiving 856 citations

Peers

S.H. Mishra
Comparison fields: 5 of 103
  • Complementary and alternative medicine 347
  • Pharmacology 293
  • Biochemistry 104
  • Endocrinology, Diabetes and Metabolism 222
  • Drug Discovery 2
Replace S. Rajasekharan with:
S. Rajasekharan India
Neeraj Kumar Sethiya India
M Gupta India
B. Andallu India
José Padikkala India
B. P. Saha India
Muthuswamy Umamaheswari India
U. K. Mazumder India
Johji YAMAHARA Japan
M C Sabu India
S.H. Mishra relative to S. Rajasekharan India S. Rajasekharan's profile →
Citations per field
00.5×3.1×
S. Rajasekharan · 1×
Citations per year

Countries citing papers authored by S.H. Mishra

Since Specialization
Citations

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

Fields of papers citing papers by S.H. Mishra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.H. Mishra. 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 S.H. Mishra. The network helps show where S.H. Mishra may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201839
2
Velvet bean roots stimulates humoral and cell mediated immunity and offers protection against Cyclophosphamide induced myelosuppression.
20161
3 201356
4 201226
5
Amelioration of carbon tetrachloride induced hepatotoxicity in rats by standardized Feronia limonia. Linn leaf extracts.
20124
6 201126
7 201126
8 201015
9 20094
10
Quantification of L-DOPA, lupeol and β-sitosterol from leaves of Clerodendrum phlomidis by TLC.
20091
11
Cell Lines in Diabetes Research: A Review
20082
12 20079
13 200643
14 200571
15 20051
16 200518
17 2004164
18 1999130
19 199850
20 199815

About S.H. Mishra

S.H. Mishra is a scholar working on Pharmacology, Complementary and alternative medicine and Biochemistry, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (10 papers), Natural Antidiabetic Agents Studies (10 papers), Medicinal Plants and Neuroprotection (7 papers), Phytochemistry and Biological Activities (7 papers), Natural product bioactivities and synthesis (5 papers), Phytochemicals and Antioxidant Activities (5 papers), Phytochemicals and Medicinal Plants (5 papers) and Pharmacological Effects of Natural Compounds (5 papers). The work is most often cited by research in Complementary and alternative medicine (347 citations), Pharmacology (293 citations) and Biochemistry (104 citations). S.H. Mishra has collaborated with scholars based in India. Frequent co-authors include Chhaya Gadgoli, Madhuri Jayathirtha, A.R. Bafna, Neeraj Kumar Sethiya, K. S. Rao, Ritesh Agrawal, Alok Nahata, Mayurkumar B. Patel, Mahendra Jain and Pawan Kumar Singh. Their work appears in journals such as Journal of Ethnopharmacology, Pharmaceutical Biology, Pharmacognosy Reviews/Bioinformatics Trends/Pharmacognosy review, Phytomedicine and Journal of Natural Medicines.

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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