Anil Panwar

655 citations
30 papers · 407 · h-index 10

Impact in

Papers in

Anil Panwar

25 papers receiving 397 citations

Peers

Anil Panwar
Comparison fields: 5 of 89
  • Biochemistry 55
  • Biotechnology 44
  • Pharmacology 37
  • Complementary and alternative medicine 31
  • Computational Theory and Mathematics 52
Replace Pardis Mohammadi Pour with:
Pardis Mohammadi Pour Iran
Charles Obiora Nwonuma Nigeria
Abeer H. Elmaidomy Egypt
Livia Marques Casanova Brazil
Saoulajan Charfi Morocco
Preeti Bajpai India
Veeresh Kumar Sali India
Desy Fitrya Syamsumir Malaysia
Ji-Young Park South Korea
Yosie Andriani Malaysia
Anil Panwar relative to Pardis Mohammadi Pour Iran Pardis Mohammadi Pour's profile →
Citations per field
00.5×1.7×
Pardis Mohammadi Pour · 1×
Citations per year

Countries citing papers authored by Anil Panwar

Since Specialization
Citations

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

Fields of papers citing papers by Anil Panwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anil Panwar, 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 Anil Panwar Line = papers co-authored together Anil Panwar 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 2021118
2 202088
3 201539
4 202223
5 202019
6 202217
7 202213
8 202311
9 202110
10 20229
11 20219
12 20227
13 20236
14 20216
15 20215
16 20225
17 20224
18 20234
19 20213
20 20233

About Anil Panwar

Anil Panwar is a scholar working on Computational Theory and Mathematics, Molecular Biology, Plant Science, Organic Chemistry and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 407 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Natural Antidiabetic Agents Studies (4 papers), Plant-Microbe Interactions and Immunity (3 papers), Nematode management and characterization studies (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Diverse Scientific Research Studies (3 papers), Phytochemicals and Antioxidant Activities (3 papers) and Free Radicals and Antioxidants (2 papers). The work is most often cited by research in Biochemistry (55 citations), Biotechnology (44 citations), Pharmacology (37 citations), Complementary and alternative medicine (31 citations) and Computational Theory and Mathematics (52 citations). Anil Panwar has collaborated with scholars based in India, Armenia and Russia. Frequent co-authors include Rakesh Kumar, Anju Kumari, Ashok Kumar, Priya Kashyap, Suman Chowdhury, Suresh Kumar, Shivani Kumar, Varruchi Sharma, Anil Kumar Sharma and Anil Kumar. Their work appears in journals such as Egyptian Journal of Biological Pest Control, Biotechnology and Applied Biochemistry, Journal of Biomolecular Structure and Dynamics, Journal of Basic Microbiology and Combinatorial Chemistry & High Throughput Screening.

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.

Explore authors with similar magnitude of impact