Pranay Wal

3.2k citations
222 papers · 2.3k · h-index 22

Impact in

Papers in

Pranay Wal

184 papers receiving 2.0k citations

Peers

Pranay Wal
Comparison fields: 5 of 145
  • Animal Science and Zoology 1.1k
  • Small Animals 335
  • Drug Discovery 3
  • Food Science 305
  • Biochemistry 80
Replace Jianhua He with:
Jianhua He China
Zheng Ruan China
Katarzyna Ognik Poland
Jinping Deng China
Valeria Maria Morittu Italy
H. Geyer Switzerland
Dun Deng China
Dingfu Xiao China
Hazem M. Shaheen Egypt
Asghar Ali Kamboh Pakistan
Pranay Wal relative to Jianhua He China Jianhua He's profile →
Citations per field
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Citations per year

Countries citing papers authored by Pranay Wal

Since Specialization
Citations

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

Fields of papers citing papers by Pranay Wal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 222 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986244
2 2011229
3 1986198
4 1993104
5 199494
6 199984
7 199368
8 198864
9 199762
10
The eating quality of pork. 2. The influence of intramuscular fat
199659
11 198045
12 199533
13 201330
14 201329
15 201125
16 202324
17 197823
18 201023
19 201922
20 199521

About Pranay Wal

Pranay Wal is a scholar working on Molecular Biology, Animal Science and Zoology, Endocrinology, Diabetes and Metabolism, Plant Science and Food Science, having authored 222 papers that have together received 2.3k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (25 papers), Natural Antidiabetic Agents Studies (16 papers), Animal Nutrition and Physiology (14 papers), Essential Oils and Antimicrobial Activity (13 papers), Animal Behavior and Welfare Studies (11 papers), Bee Products Chemical Analysis (8 papers), Ethnobotanical and Medicinal Plants Studies (7 papers) and Phytochemicals and Antioxidant Activities (6 papers). The work is most often cited by research in Animal Science and Zoology (1.1k citations), Small Animals (335 citations), Drug Discovery (3 citations), Food Science (305 citations) and Biochemistry (80 citations). Pranay Wal has collaborated with scholars based in India, Saudi Arabia and Netherlands. Frequent co-authors include G. Eikelenboom, Ankita Wal, B. Engel, R. G. Kauffman, Morten Zaar, G.S.M. Merkus, AK Rai, A.H. Hoving-Bolink, Rashmi Saxena Pal and H.G.M. Reimert. Their work appears in journals such as Meat Science, Current Diabetes Reviews, Veterinary Quarterly, Current Topics in Medicinal Chemistry and Current Cardiology Reviews.

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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