M.S. Kanungo

1.4k total citations
84 papers, 1.1k citations indexed

About

M.S. Kanungo is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, M.S. Kanungo has authored 84 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 15 papers in Genetics and 12 papers in Physiology. Recurrent topics in M.S. Kanungo's work include Genomics and Chromatin Dynamics (10 papers), Metabolism and Genetic Disorders (9 papers) and Amino Acid Enzymes and Metabolism (8 papers). M.S. Kanungo is often cited by papers focused on Genomics and Chromatin Dynamics (10 papers), Metabolism and Genetic Disorders (9 papers) and Amino Acid Enzymes and Metabolism (8 papers). M.S. Kanungo collaborates with scholars based in India. M.S. Kanungo's co-authors include Mahendra Kumar Thakur, V.K. Moudgil, Omanand Koul, B.K. Patnaik, M. Chaturvedi, Satyakam Patnaik, Prisni Rath, K. Rama Reddy, G.B.N. Chainy and Rajesh Sinha and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

M.S. Kanungo

83 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M.S. Kanungo India	20	638	223	202	192	114	84	1.1k
Robert G. Pendleton United States	22	555 0.9×	200 0.9×	103 0.5×	626 3.3×	213 1.9×	79	1.5k
M. T. Agapito Spain	17	408 0.6×	356 1.6×	145 0.7×	188 1.0×	36 0.3×	42	1.5k
L. A. Arnold United States	14	320 0.5×	174 0.8×	67 0.3×	222 1.2×	44 0.4×	22	848
Sanford S. Singer United States	18	468 0.7×	117 0.5×	192 1.0×	154 0.8×	32 0.3×	50	1.0k
H. Parvez France	19	286 0.4×	208 0.9×	65 0.3×	318 1.7×	95 0.8×	86	1.3k
Rina Timberg Israel	20	1.1k 1.7×	149 0.7×	299 1.5×	290 1.5×	458 4.0×	28	2.0k
Javier Cuesta Spain	25	966 1.5×	454 2.0×	159 0.8×	371 1.9×	107 0.9×	38	2.1k
Anju Dubey United States	8	553 0.9×	467 2.1×	48 0.2×	152 0.8×	67 0.6×	10	1.3k
Paul Higueret France	25	1.2k 1.8×	336 1.5×	215 1.1×	395 2.1×	45 0.4×	78	1.9k
Barbara H. Sohal United States	17	848 1.3×	704 3.2×	126 0.6×	116 0.6×	50 0.4×	18	1.8k

Countries citing papers authored by M.S. Kanungo

Since Specialization

Citations

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

Fields of papers citing papers by M.S. Kanungo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.S. Kanungo. 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 M.S. Kanungo. The network helps show where M.S. Kanungo may publish in the future.

Co-authorship network of co-authors of M.S. Kanungo

This figure shows the co-authorship network connecting the top 25 collaborators of M.S. Kanungo. A scholar is included among the top collaborators of M.S. Kanungo 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 M.S. Kanungo. M.S. Kanungo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Modi, Prashant Kumar & M.S. Kanungo. (2010). Age-dependent Expression of S100β in the Brain of Mice. Cellular and Molecular Neurobiology. 30(5). 709–716. 16 indexed citations

Kanungo, M.S., et al.. (2006). Expression of D2 dopamine receptor in the mouse brain. Biochemical and Biophysical Research Communications. 344(3). 981–986. 11 indexed citations

Pathak, Rashmi U. & M.S. Kanungo. (2006). Subtractive differential display: a modified differential display technique for isolating differentially expressed genes. Molecular Biology Reports. 34(1). 41–46. 3 indexed citations

Kanungo, M.S., et al.. (2004). Expression of muscle creatine kinase gene of mice and interaction of nuclear proteins with MEF-2, E boxes and A/T-rich elements during aging. Molecular Biology Reports. 31(1). 43–50. 4 indexed citations

Kanungo, M.S., et al.. (2001). Interaction of Nuclear Proteins with Repeat Sequences in the 5′ Flanking Region of Mouse Muscle Creatine Kinase Gene during Aging. Biochemical and Biophysical Research Communications. 283(1). 260–264. 2 indexed citations

Kanungo, M.S., et al.. (2000). Age-related and steroid induced changes in the histones of the quail liver. Archives of Gerontology and Geriatrics. 30(2). 109–114. 11 indexed citations

Gupta, Sanjay, et al.. (1999). Trans-acting factors that interact with the proximal promoter sequences of ovalbumin gene are tissue-specific and age-related. Molecular and Cellular Biochemistry. 201(1-2). 65–72. 5 indexed citations

Gupta, Sanjay, et al.. (1998). Activation of vitellogenin II gene expression by steroid hormones in the old Japanese quail. Molecular Biology Reports. 25(4). 245–251. 2 indexed citations

Gupta, Sanjay & M.S. Kanungo. (1996). Modulation of Vitellogenin II Gene by Estradiol and Progesterone in the Japanese Quail. Biochemical and Biophysical Research Communications. 222(1). 181–185. 7 indexed citations

10.

Gupta, Sanjay, et al.. (1996). Interactions of trans‐acting factors(s) with the estradiol response element and nuclear factor 1 of the vitellogenin II gene of Japanese quail. IUBMB Life. 39(5). 887–894. 2 indexed citations

11.

Kanungo, M.S., et al.. (1994). Alterations in histones of the liver and oviduct of Japanese quail during aging. Molecular Biology Reports. 20(1). 15–18. 6 indexed citations

12.

Singh, Sanjaya & M.S. Kanungo. (1993). Changes in Expression and CRE Binding Proteins of the Fibronectin Gene During Aging of the Rat. Biochemical and Biophysical Research Communications. 193(1). 440–445. 8 indexed citations

13.

Singh, Sanjaya & M.S. Kanungo. (1991). DNase I hypersensitive sites of the 5′ region of the fibronectin gene of the liver of the rat. Biochemical and Biophysical Research Communications. 181(1). 131–137. 6 indexed citations

14.

Jaiswal, Yogesh & M.S. Kanungo. (1990). Expression of actin and myosin heavy chain genes in skeletal, cardiac and uterine muscles of young and old rats. Biochemical and Biophysical Research Communications. 168(1). 71–77. 8 indexed citations

15.

Singh, Anita, et al.. (1990). Conformation and expression of the albumin gene of young and old rats. Molecular Biology Reports. 14(4). 251–254. 2 indexed citations

16.

Rath, Prisni & M.S. Kanungo. (1989). Methylation of repetitive DNA sequences in the brain during aging of the rat. FEBS Letters. 244(1). 193–198. 27 indexed citations

17.

Chaturvedi, M. & M.S. Kanungo. (1985). Analysis of conformation and function of the chromatin of the brain of young and old rats. Molecular Biology Reports. 10(4). 215–219. 18 indexed citations

18.

Paulose, C.S. & M.S. Kanungo. (1982). Age-related and sex-related alterations in β-adrenergic receptors in different regions of rat brain. Archives of Gerontology and Geriatrics. 1(2). 167–170. 2 indexed citations

19.

Moudgil, V.K. & M.S. Kanungo. (1973). Effect of age of the rat on induction of acetylcholinesterase of the brain by 17β-estradiol. Biochimica et Biophysica Acta (BBA) - General Subjects. 329(2). 211–220. 39 indexed citations

20.

Shukla, S.P. & M.S. Kanungo. (1970). Oxidation of pyruvate and lactate by the liver and brain homogenates of rats of various ages. Experimental Gerontology. 5(2). 171–175. 5 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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