Mukesh Gautam

595 total citations
18 papers, 472 citations indexed

About

Mukesh Gautam is a scholar working on Reproductive Medicine, Neurology and Genetics. According to data from OpenAlex, Mukesh Gautam has authored 18 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Reproductive Medicine, 7 papers in Neurology and 7 papers in Genetics. Recurrent topics in Mukesh Gautam's work include Sperm and Testicular Function (8 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers) and Amyotrophic Lateral Sclerosis Research (7 papers). Mukesh Gautam is often cited by papers focused on Sperm and Testicular Function (8 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers) and Amyotrophic Lateral Sclerosis Research (7 papers). Mukesh Gautam collaborates with scholars based in United States, India and France. Mukesh Gautam's co-authors include P. Hande Özdi̇nler, Javier H. Jara, Subeer S. Majumdar, Indrashis Bhattacharya, Eileen H. Bigio, Gabriella Sekerková, Kanchan Sarda, Sayon Basu, Lauren Rylaarsdam and Marco Martina and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Mukesh Gautam

18 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mukesh Gautam United States 12 214 184 120 105 81 18 472
Michela Ripolone Italy 13 349 1.6× 72 0.4× 27 0.2× 47 0.4× 63 0.8× 40 526
Courtney Ackeifi United States 7 281 1.3× 88 0.5× 72 0.6× 11 0.1× 163 2.0× 9 534
Carolina Cristina Argentina 14 243 1.1× 37 0.2× 102 0.8× 28 0.3× 48 0.6× 27 585
Tejasvi Dudiki United States 9 132 0.6× 25 0.1× 12 0.1× 106 1.0× 79 1.0× 14 378
Sarah Opie-Martin United Kingdom 16 325 1.5× 450 2.4× 219 1.8× 5 0.0× 41 0.5× 26 776
Adamantia Papachatzopoulou Greece 13 190 0.9× 22 0.1× 172 1.4× 40 0.4× 70 0.9× 28 364
Samira Ait-El-Mkadem France 10 278 1.3× 64 0.3× 29 0.2× 9 0.1× 52 0.6× 14 374
Adolfo López-Ornelas Mexico 11 165 0.8× 12 0.1× 26 0.2× 35 0.3× 28 0.3× 23 320
Mahmoud Y. Issa Egypt 15 258 1.2× 28 0.2× 56 0.5× 6 0.1× 156 1.9× 45 482
F. Ajmar Italy 17 253 1.2× 163 0.9× 189 1.6× 4 0.0× 84 1.0× 56 748

Countries citing papers authored by Mukesh Gautam

Since Specialization
Citations

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

Fields of papers citing papers by Mukesh Gautam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukesh Gautam

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

All Works

18 of 18 papers shown
1.
Anđjus, Pavle R., Maja Kosanović, Katarina Miličević, et al.. (2020). Extracellular Vesicles as Innovative Tool for Diagnosis, Regeneration and Protection against Neurological Damage. International Journal of Molecular Sciences. 21(18). 6859–6859. 68 indexed citations
2.
Gautam, Mukesh, et al.. (2020). Importance of lipids for upper motor neuron health and disease. Seminars in Cell and Developmental Biology. 112. 92–104. 5 indexed citations
3.
Özdi̇nler, P. Hande, Mukesh Gautam, Csaba Konràd, et al.. (2020). Better understanding the neurobiology of primary lateral sclerosis. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 21(sup1). 35–46. 4 indexed citations
4.
Jara, Javier H., et al.. (2019). MCP1-CCR2 and neuroinflammation in the ALS motor cortex with TDP-43 pathology. Journal of Neuroinflammation. 16(1). 196–196. 46 indexed citations
5.
Gautam, Mukesh, et al.. (2019). Mitoautophagy: A Unique Self-Destructive Path Mitochondria of Upper Motor Neurons With TDP-43 Pathology Take, Very Early in ALS. Frontiers in Cellular Neuroscience. 13. 489–489. 32 indexed citations
6.
Gautam, Mukesh, et al.. (2018). Mitochondria, ER, and nuclear membrane defects reveal early mechanisms for upper motor neuron vulnerability with respect to TDP-43 pathology. Acta Neuropathologica. 137(1). 47–69. 62 indexed citations
7.
Gautam, Mukesh, Indrashis Bhattacharya, Umesh Rai, & Subeer S. Majumdar. (2018). Hormone induced differential transcriptome analysis of Sertoli cells during postnatal maturation of rat testes. PLoS ONE. 13(1). e0191201–e0191201. 24 indexed citations
8.
Gautam, Mukesh, et al.. (2018). Protein-protein interactions reveal key canonical pathways, upstream regulators, interactome domains, and novel targets in ALS. Scientific Reports. 8(1). 14732–14732. 30 indexed citations
9.
Bhattacharya, Indrashis, et al.. (2016). Advantages of pulsatile hormone treatment for assessing hormone-induced gene expression by cultured rat Sertoli cells. Cell and Tissue Research. 368(2). 389–396. 14 indexed citations
10.
Gautam, Mukesh, Javier H. Jara, Gabriella Sekerková, et al.. (2016). Absence of alsin function leads to corticospinal motor neuron vulnerability via novel disease mechanisms. Human Molecular Genetics. 25(6). 1074–1087. 55 indexed citations
11.
12.
Genç, Barış, Javier H. Jara, Marin Manuel, et al.. (2016). Absence of UCHL 1 function leads to selective motor neuropathy. Annals of Clinical and Translational Neurology. 3(5). 331–345. 32 indexed citations
13.
Bhattacharya, Indrashis, Mukesh Gautam, & Subeer S. Majumdar. (2014). The effect of IBMX and hormones on gene expression by rat Sertoli cells. 1(1). 29–40. 1 indexed citations
14.
Bhattacharya, Indrashis, Sayon Basu, Kanchan Sarda, et al.. (2014). Low Levels of Gαs and Ric8b in Testicular Sertoli Cells May Underlie Restricted FSH Action During Infancy in Primates. Endocrinology. 156(3). 1143–1155. 22 indexed citations
15.
16.
Gautam, Mukesh, et al.. (2012). Peritubular cells may modulate Leydig cell–mediated testosterone production through a nonclassic pathway. Fertility and Sterility. 98(5). 1308–1317.e1. 12 indexed citations
17.
Bhattacharya, Indrashis, Bhola Shankar Pradhan, Kanchan Sarda, et al.. (2012). A switch in Sertoli cell responsiveness to FSH may be responsible for robust onset of germ cell differentiation during prepubartal testicular maturation in rats. American Journal of Physiology-Endocrinology and Metabolism. 303(7). E886–E898. 41 indexed citations
18.
Majumdar, Subeer S., Abul Usmani, Indrashis Bhattacharya, et al.. (2009). A method for rapid generation of transgenic animals to evaluate testis genes during sexual maturation. Journal of Reproductive Immunology. 83(1-2). 36–39. 10 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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