Mahesh C. Sharma

3.0k total citations
61 papers, 2.1k citations indexed

About

Mahesh C. Sharma is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Mahesh C. Sharma has authored 61 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 11 papers in Cancer Research and 9 papers in Genetics. Recurrent topics in Mahesh C. Sharma's work include Muscle Physiology and Disorders (9 papers), Protease and Inhibitor Mechanisms (8 papers) and S100 Proteins and Annexins (8 papers). Mahesh C. Sharma is often cited by papers focused on Muscle Physiology and Disorders (9 papers), Protease and Inhibitor Mechanisms (8 papers) and S100 Proteins and Annexins (8 papers). Mahesh C. Sharma collaborates with scholars based in United States, India and New Zealand. Mahesh C. Sharma's co-authors include Meena Sharma, Ravi Kambadur, Vinod Singh, J. J. Bass, Jenny M. Oldham, George P. Tuszynski, Deborah M. Hinton, Shaun M. Goodyear, Craig McFarlane and Peter D. Gluckman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Bacteriology.

In The Last Decade

Mahesh C. Sharma

61 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mahesh C. Sharma United States 27 1.2k 350 321 221 209 61 2.1k
Nataša Kopitar‐Jerala Slovenia 25 1.1k 0.9× 364 1.0× 499 1.6× 268 1.2× 153 0.7× 54 2.3k
Douglas Dickinson United States 34 946 0.8× 427 1.2× 191 0.6× 170 0.8× 213 1.0× 86 3.0k
Eva González‐Roca Spain 30 1.9k 1.5× 254 0.7× 134 0.4× 144 0.7× 398 1.9× 78 3.6k
Kowit‐Yu Chong Taiwan 27 1.3k 1.1× 169 0.5× 176 0.5× 244 1.1× 337 1.6× 80 2.4k
Marzia Bianchi Italy 23 859 0.7× 313 0.9× 192 0.6× 114 0.5× 142 0.7× 70 1.6k
Abigail Betanzos Mexico 22 1.4k 1.1× 178 0.5× 201 0.6× 226 1.0× 171 0.8× 48 2.5k
Yinghui Li China 27 1.5k 1.2× 500 1.4× 315 1.0× 448 2.0× 204 1.0× 116 2.6k
Rigmor Solberg Norway 26 934 0.8× 226 0.6× 254 0.8× 270 1.2× 100 0.5× 55 2.0k
Naoki Takahashi Japan 26 996 0.8× 440 1.3× 111 0.3× 159 0.7× 161 0.8× 96 2.5k
Anurag Kumar Singh Germany 28 1.6k 1.3× 348 1.0× 321 1.0× 255 1.2× 245 1.2× 88 2.7k

Countries citing papers authored by Mahesh C. Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Mahesh C. Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mahesh C. Sharma. 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 Mahesh C. Sharma. The network helps show where Mahesh C. Sharma may publish in the future.

Co-authorship network of co-authors of Mahesh C. Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Mahesh C. Sharma. A scholar is included among the top collaborators of Mahesh C. Sharma 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 Mahesh C. Sharma. Mahesh C. Sharma 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.
2.
Sharma, Mahesh C., et al.. (2016). An improved approach for predicting drug–target interaction: proteochemometrics to molecular docking. Molecular BioSystems. 12(3). 1006–1014. 33 indexed citations
3.
Sharma, Mahesh C., Mahesh C. Sharma, George P. Tuszynski, et al.. (2016). Long-term efficacy and downstream mechanism of anti-annexinA2 monoclonal antibody (anti-ANX A2 mAb) in a pre-clinical model of aggressive human breast cancer. Cancer Letters. 373(1). 27–35. 28 indexed citations
4.
Sharma, Meena, et al.. (2011). Antibody-directed neutralization of annexin II (ANX II) inhibits neoangiogenesis and human breast tumor growth in a xenograft model. Experimental and Molecular Pathology. 92(1). 175–184. 51 indexed citations
5.
Lal, Chhagan, et al.. (2011). Natural Dye constituents from rind of Punica granatum and its application on Pashmina fabrics. Archives of applied science research. 3(3). 350–357. 7 indexed citations
6.
Singh, Shanker K., Umesh Dimri, Mahesh C. Sharma, et al.. (2011). The role of apoptosis in immunosuppression of dogs with demodicosis. Veterinary Immunology and Immunopathology. 144(3-4). 487–492. 19 indexed citations
7.
McFarlane, Craig, Sudarsanareddy Lokireddy, Shinya Masuda, et al.. (2011). Inhibition of myostatin protects against diet-induced obesity by enhancing fatty acid oxidation and promoting a brown adipose phenotype in mice. Diabetologia. 55(1). 183–193. 163 indexed citations
8.
Singh, Shanker K., Umesh Dimri, Mahesh C. Sharma, D. Swarup, & Bhaskar Sharma. (2011). Determination of oxidative status and apoptosis in peripheral blood of dogs with sarcoptic mange. Veterinary Parasitology. 178(3-4). 330–338. 32 indexed citations
9.
Dimri, Umesh, et al.. (2011). Oxidant/antioxidant balance, minerals status and apoptosis in peripheral blood of dogs naturally infected with Dirofilaria immitis. Research in Veterinary Science. 93(1). 296–299. 10 indexed citations
10.
Sharma, Meena, Meena Sharma, Robert T. Ownbey, Mahesh C. Sharma, & Mahesh C. Sharma. (2010). Breast cancer cell surface annexin II induces cell migration and neoangiogenesis via tPA dependent plasmin generation. Experimental and Molecular Pathology. 88(2). 278–286. 110 indexed citations
11.
Sharma, Meena, Meena Sharma, Vicki L. Rothman, et al.. (2006). Antibody-directed targeting of angiostatin's receptor annexin II inhibits Lewis Lung Carcinoma tumor growth via blocking of plasminogen activation: Possible biochemical mechanism of angiostatin's action. Experimental and Molecular Pathology. 81(2). 136–145. 47 indexed citations
12.
Panda, Debashis, et al.. (2006). Peptic ulcer healing properties of Shatavari (Asparagus racemosus Willd.). 7 indexed citations
13.
14.
Jeanplong, Ferenc, et al.. (2003). Prolonged underfeeding of sheep increases myostatin and myogenic regulatory factor Myf-5 in skeletal muscle while IGF-I and myogenin are repressed. Journal of Endocrinology. 176(3). 425–437. 65 indexed citations
15.
Tuszynski, George P., et al.. (2002). Angiostatin Binds to Tyrosine Kinase Substrate Annexin II through the Lysine-Binding Domain in Endothelial Cells. Microvascular Research. 64(3). 448–462. 53 indexed citations
16.
Sharma, Mahesh C., Ferenc Jeanplong, Mark Thomas, et al.. (2000). Cloning and characterization of the bovine myostatin promoter. 60. 90–93. 1 indexed citations
17.
Sharma, Mahesh C., et al.. (1999). Insulin-like growth factor-I protects myoblasts from apoptosis but requires other factors to stimulate proliferation. Journal of Endocrinology. 163(1). 63–68. 32 indexed citations
18.
Sharma, Mahesh C. & B Shapiro. (1995). Purification and Characterization of Constituent Testosterone 2α-Hydroxylase (Cytochrome P4502α) from Mouse Liver. Archives of Biochemistry and Biophysics. 316(1). 478–484. 9 indexed citations
19.
Swarup, D., et al.. (1991). Biochemical alterations in serum and cerebrospinal fluid in experimental acidosis in goats. Research in Veterinary Science. 50(2). 208–210. 14 indexed citations
20.
Joshi, Krishna C., et al.. (1985). Quinones and Other Constituents of Markhamia platycalyx and Bignonia unguiscati. Journal of Natural Products. 48(1). 145–145. 11 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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