Suman Dhanda

780 total citations
43 papers, 615 citations indexed

About

Suman Dhanda is a scholar working on Molecular Biology, Oncology and Food Science. According to data from OpenAlex, Suman Dhanda has authored 43 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 15 papers in Oncology and 15 papers in Food Science. Recurrent topics in Suman Dhanda's work include Probiotics and Fermented Foods (15 papers), Peptidase Inhibition and Analysis (15 papers) and Neuropeptides and Animal Physiology (12 papers). Suman Dhanda is often cited by papers focused on Probiotics and Fermented Foods (15 papers), Peptidase Inhibition and Analysis (15 papers) and Neuropeptides and Animal Physiology (12 papers). Suman Dhanda collaborates with scholars based in India, United Kingdom and United States. Suman Dhanda's co-authors include Jasbir Singh, Tejinder Pal Khaket, Hari Singh, M. Graham, Nikolas J. Hodges, T.P. Singh, R. C. Upadhyay, Talwinder Singh, Praveen Kumar and Jitender Kumar Bhardwaj and has published in prestigious journals such as Bioresource Technology, International Journal of Biological Macromolecules and Process Biochemistry.

In The Last Decade

Suman Dhanda

43 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suman Dhanda India 16 324 212 146 110 100 43 615
Chiara Zanoni Italy 18 727 2.2× 240 1.1× 178 1.2× 223 2.0× 72 0.7× 22 1.2k
Bincy Baby United Arab Emirates 12 360 1.1× 210 1.0× 47 0.3× 75 0.7× 29 0.3× 30 666
Alberto Barrera-Pacheco Mexico 12 310 1.0× 175 0.8× 87 0.6× 222 2.0× 65 0.7× 19 567
Fumio Fukui Japan 16 532 1.6× 166 0.8× 259 1.8× 100 0.9× 20 0.2× 33 947
Kiyoharu Takamatsu Japan 17 303 0.9× 160 0.8× 247 1.7× 132 1.2× 23 0.2× 24 913
Martina Bartolomei Italy 16 369 1.1× 144 0.7× 59 0.4× 46 0.4× 24 0.2× 31 554
Athanasios Karapetsas Greece 16 488 1.5× 392 1.8× 181 1.2× 36 0.3× 63 0.6× 23 816
Airong Jia China 14 168 0.5× 146 0.7× 63 0.4× 129 1.2× 20 0.2× 39 577
Justo Pedroche Spain 19 433 1.3× 186 0.9× 106 0.7× 111 1.0× 13 0.1× 35 694
Runa Sur India 15 298 0.9× 90 0.4× 87 0.6× 85 0.8× 20 0.2× 35 895

Countries citing papers authored by Suman Dhanda

Since Specialization
Citations

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

Fields of papers citing papers by Suman Dhanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suman Dhanda

This figure shows the co-authorship network connecting the top 25 collaborators of Suman Dhanda. A scholar is included among the top collaborators of Suman Dhanda 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 Suman Dhanda. Suman Dhanda 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.
Singh, Jaswinder, P Pooja, Praveen Kumar, Jasbir Singh, & Suman Dhanda. (2023). Impact of probiotics in alleviating type 2 diabetes risk in clinical trials: A meta-analysis study. Human Gene. 35. 201149–201149. 3 indexed citations
2.
Kumar, Praveen, et al.. (2023). Identification, Purification, Characterization and Biopreservation Potential of Antimicrobial Peptide of Pediococcus acidilactici NCDC 252. International Journal of Peptide Research and Therapeutics. 29(1). 6 indexed citations
3.
Singh, Jasbir, et al.. (2021). In silico molecular docking of SARS-CoV-2 surface proteins with microbial non-ribosomal peptides: identification of potential drugs. Journal of Proteins and Proteomics. 12(3). 177–184. 14 indexed citations
4.
Dhanda, Suman, et al.. (2020). In silico genome-wide analysis of the ATP-binding cassette transporter gene family in Pediococcus acidilactici NCDC 252 : a strain of dairy origin.. 36(1). 12–14. 1 indexed citations
5.
6.
Singh, Jasbir, et al.. (2018). Purification, kinetic and functional characterization of membrane bound dipeptidyl peptidase-III from NCDC 252: a probiotic lactic acid bacteria. Molecular Biology Reports. 45(5). 973–986. 4 indexed citations
7.
8.
Dhanda, Suman, et al.. (2017). Extraction, purification and characterization of low molecular weight Proline iminopeptidase from probiotic L. plantarum for meat tenderization. International Journal of Biological Macromolecules. 109. 651–663. 20 indexed citations
9.
Dhanda, Suman, et al.. (2016). Dipeptidyl peptidase-II from probiotic Pediococcus acidilactici: Purification and functional characterization. International Journal of Biological Macromolecules. 93(Pt A). 919–932. 19 indexed citations
10.
Khaket, Tejinder Pal, et al.. (2015). Purification and biochemical characterization of dipeptidyl peptidase-II (DPP7) homologue from germinated Vigna radiata seeds. Bioorganic Chemistry. 63. 132–141. 25 indexed citations
11.
Dhanda, Suman, et al.. (2014). Developmental competence and expression pattern of bubaline (Bubalus bubalis) oocytes subjected to elevated temperatures during meiotic maturation in vitro. Journal of Assisted Reproduction and Genetics. 31(10). 1349–1360. 19 indexed citations
12.
Khaket, Tejinder Pal, et al.. (2014). Biochemical, Kinetic, and In Silico Characterization of DING Protein Purified from Probiotic Lactic Acid Bacteria Pediococcus acidilactici NCDC 252. Applied Biochemistry and Biotechnology. 175(2). 1092–1110. 11 indexed citations
13.
Dhanda, Suman, et al.. (2013). A Review of Molecular Mechanisms in the Development of Hepatocellular Carcinoma by Aflatoxin and Hepatitis B and C Viruses. Journal of Environmental Pathology Toxicology and Oncology. 32(2). 165–175. 46 indexed citations
14.
Singh, Jasbir, et al.. (2012). SDS-PAGE analysis of membrane and extracellular proteins of vancomycin resistant Pediococcus acidilactici.. 28(1). 9–11. 2 indexed citations
15.
Khaket, Tejinder Pal, et al.. (2012). Biochemical characterization of consortium compost of toxic weeds Parthenium hysterophorus and Eichhornia crassipe. Bioresource Technology. 123. 360–365. 22 indexed citations
16.
Khaket, Tejinder Pal, et al.. (2012). Enkephalin Degrading Enzymes: Metalloproteases with High Potential for Drug Development. Current Pharmaceutical Design. 18(2). 220–230. 19 indexed citations
17.
Singh, Jasbir, et al.. (2011). Activity Staining and Inhibition Characterization of Dipeptidylpeptidase-III Enzyme from Goat Brain. Enzyme Research. 2011. 1–3. 4 indexed citations
18.
Dhanda, Suman, et al.. (2010). Distribution of dipeptidylpeptidase III homologue in brain and vital organs in goat (Capra hircus). The Indian Journal of Animal Sciences. 80(8). 715–718. 2 indexed citations
19.
Hodges, Nikolas J., et al.. (2008). Cellular protection from oxidative DNA damage by over-expression of the novel globin cytoglobin in vitro. Mutagenesis. 23(4). 293–298. 61 indexed citations
20.
Dhanda, Suman, Jasbir Singh, & Hari Singh. (2007). Hydrolysis of various bioactive peptides by goat brain dipeptidylpeptidase‐III homologue. Cell Biochemistry and Function. 26(3). 339–345. 26 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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