Baldev Singh

98 papers receiving 2.2k citations

Peers

Baldev Singh
Comparison fields: 5 of 144
  • Equine 73
  • Applied Microbiology and Biotechnology 78
  • Periodontics 171
  • Urology 182
  • Biochemistry 189
Replace Ming‐Yung Chou with:
Ming‐Yung Chou Taiwan
Ronaldo A. Ribeiro Brazil
Rwk Wong Hong Kong
Luís Carlos Spolidório Brazil
Jill B. Lewis United States
Wojciech Król Poland
Tingtao Chen China
Ján Danko Slovakia
Carlos Rossa Brazil
Raimundo Fernandes de Araújo Júnior Brazil
Baldev Singh relative to Ming‐Yung Chou Taiwan Ming‐Yung Chou's profile →
Citations per field
00.5×10×20×30×36.5×
Ming‐Yung Chou · 1×
Citations per year

Countries citing papers authored by Baldev Singh

Since Specialization
Citations

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

Fields of papers citing papers by Baldev Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001147
2 2007137
3 2003131
4 2003126
5 1997106
6 200394
7 200492
8 198291
9 198375
10 199874
11
Deep Neck Space Infections: A Study of 76 Cases.
201561
12
Green tea polyphenol targets the mitochondria in tumor cells inducing caspase 3-dependent apoptosis.
200359
13
Chemoprevention of oral cancer by green tea.
200252
14 199449
15
Chemopreventive effects of green tea polyphenols correlate with reversible induction of p57 expression.
200243
16 200537
17 199837
18 201537
19 200636
20 197634

About Baldev Singh

Baldev Singh is a scholar working on Surgery, Molecular Biology, Pathology and Forensic Medicine, Oncology and Otorhinolaryngology, having authored 105 papers that have together received 2.3k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (9 papers), Cancer-related Molecular Pathways (7 papers), Oral and Maxillofacial Pathology (7 papers), Sinusitis and nasal conditions (5 papers), Oral Health Pathology and Treatment (5 papers), Proteoglycans and glycosaminoglycans research (4 papers), Ear Surgery and Otitis Media (4 papers) and Phytochemicals and Medicinal Plants (4 papers). The work is most often cited by research in Equine (73 citations), Applied Microbiology and Biotechnology (78 citations), Periodontics (171 citations), Urology (182 citations) and Biochemistry (189 citations). Baldev Singh has collaborated with scholars based in United States, India and Japan. Frequent co-authors include George S. Schuster, Stephen Hsu, Jill B. Lewis, John C. Wataha, Ralph V. McKinney, Tetsuya Yamamoto, Wendy B. Bollag, Tokio Osaki, Petra E. Lockwood and Nabil Samman. Their work appears in journals such as Journal of Oral Pathology and Medicine, Journal of Pharmacology and Experimental Therapeutics, Cells Tissues Organs, Journal of Periodontology and PLoS ONE.

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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