Mohit Verma

783 total citations
30 papers, 534 citations indexed

About

Mohit Verma is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Mohit Verma has authored 30 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Plant Science and 6 papers in Genetics. Recurrent topics in Mohit Verma's work include Estrogen and related hormone effects (6 papers), Cancer-related molecular mechanisms research (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Mohit Verma is often cited by papers focused on Estrogen and related hormone effects (6 papers), Cancer-related molecular mechanisms research (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Mohit Verma collaborates with scholars based in India, United States and Japan. Mohit Verma's co-authors include Mukesh Jain, Rohini Garg, Yasuhiro Miki, Hironobu Sasano, Rajesh Ghangal, Manoj Majee, Rama Shankar, Prabhakar Lal Srivastava, Alok Sinha and R. K. Sharma and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Mohit Verma

27 papers receiving 525 citations

Peers

Mohit Verma

ONCOL

GENET

PRM

Jordan L. Smith United States

Payal Agarwal United States

Dengke Li China

Xinhua Yang China

Lu Gong China

Qingxin Song China

Jiansheng Wang China

Yinan Ma China

Yudi Liu China

Magdalena Śmiech Poland

Jordan L. Smith United States

Mohit Verma

183 ×0.7

472 ×2.1

95 ×0.9

ONCOL

67 ×0.7

GENET

61 ×0.8

PRM

Citations per year, relative to Mohit Verma Mohit Verma (= 1×) peers Jordan L. Smith

Countries citing papers authored by Mohit Verma

Since Specialization

Citations

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

Fields of papers citing papers by Mohit Verma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohit Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Mohit Verma. A scholar is included among the top collaborators of Mohit Verma 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 Mohit Verma. Mohit Verma 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

Lyu, Zhen, Trupti Joshi, Mohit Verma, et al.. (2025). Multi-omics-based insights into tomato adaptation to multifactorial stress combination. PLANT PHYSIOLOGY. 199(3). 2 indexed citations

Verma, Mohit, et al.. (2024). Triangular Osteosynthesis as a Surgical Treatment Option for Unstable Sacral Fracture Fixation with Sacroiliac Dislocation: A Case Report. Journal of Orthopaedic Case Reports. 14(2). 39–43. 1 indexed citations

Verma, Mohit, Toshihiko Ezashi, Nathan J. Bivens, et al.. (2024). Small and Long Non-Coding RNA Analysis for Human Trophoblast-Derived Extracellular Vesicles and Their Effect on the Transcriptome Profile of Human Neural Progenitor Cells. Cells. 13(22). 1867–1867. 3 indexed citations

Das, Chandana, et al.. (2023). Aberrations in the progesterone pathway and the Th1/Th2 cytokine dichotomy – An evaluation of RPL predisposition in the northeast Indian population. American Journal of Reproductive Immunology. 90(2). e13745–e13745. 2 indexed citations

Verma, Mohit, et al.. (2023). A Curious Case of Hybrid Ameloblastoma. Cureus. 15(7). e42512–e42512.

Verma, Mohit, et al.. (2018). DISTRIBUTED ENERGY RESOURCES:ISSUES AND CHALLENGES.. International Journal of Advanced Research. 6(3). 1127–1132. 3 indexed citations

Verma, Mohit, et al.. (2018). Genome-wide association mapping identifies markers associated with cane yield components and sucrose traits in the Louisiana sugarcane core collection. Genomics. 111(6). 1794–1801. 35 indexed citations

Jain, Mukesh, Prabhakar Lal Srivastava, Mohit Verma, Rajesh Ghangal, & Rohini Garg. (2016). De novo transcriptome assembly and comprehensive expression profiling in Crocus sativus to gain insights into apocarotenoid biosynthesis. Scientific Reports. 6(1). 22456–22456. 64 indexed citations

Verma, Mohit, Vinay Kumar, Ravi K. Patel, Rohini Garg, & Mukesh Jain. (2015). CTDB: An Integrated Chickpea Transcriptome Database for Functional and Applied Genomics. PLoS ONE. 10(8). e0136880–e0136880. 37 indexed citations

10.

Bawa, Pushpinder, et al.. (2015). Integrative Analysis of Normal Long Intergenic Non-Coding RNAs in Prostate Cancer. PLoS ONE. 10(5). e0122143–e0122143. 28 indexed citations

11.

Parida, Swarup K., Mohit Verma, Santosh Kumar Yadav, et al.. (2015). Development of genome-wide informative simple sequence repeat markers for large-scale genotyping applications in chickpea and development of web resource. Frontiers in Plant Science. 6. 645–645. 32 indexed citations

12.

Verma, Mohit, Rajesh Ghangal, R. K. Sharma, Alok Sinha, & Mukesh Jain. (2014). Transcriptome Analysis of Catharanthus roseus for Gene Discovery and Expression Profiling. PLoS ONE. 9(7). e103583–e103583. 44 indexed citations

13.

Verma, Mohit, Yasuhiro Miki, Keiko Abe, et al.. (2013). Intratumoral localization and activity of 17β-hydroxysteroid dehydrogenase type 1 in non-small cell lung cancer: a potent prognostic factor. Journal of Translational Medicine. 11(1). 167–167. 18 indexed citations

14.

Verma, Mohit, Yasuhiro Miki, Keiko Abe, et al.. (2012). Co-expression of estrogen receptor beta and aromatase in Japanese lung cancer patients: Gender-dependent clinical outcome. Life Sciences. 91(15-16). 800–808. 30 indexed citations

15.

Srinivasan, Subhashini, et al.. (2012). Genome-wide Profiling of RNA splicing in prostate tumor from RNA-seq data using virtual microarrays. PubMed. 2(1). 21–21. 2 indexed citations

16.

Verma, Mohit, Yasuhiro Miki, Keiko Abe, Hiromichi Niikawa, & Hironobu Sasano. (2012). Cytoplasmic estrogen receptor β as a potential marker in human non-small cell lung carcinoma. Expert Opinion on Therapeutic Targets. 16(sup1). S91–S102. 11 indexed citations

17.

Verma, Mohit, et al.. (2012). Computing MMRE and RMSSE of Software Efforts using Neural Network Based Approaches and Comparing with Traditional Models of Estimation. 1 indexed citations

18.

Verma, Mohit, Yasuhiro Miki, & Hironobu Sasano. (2011). Aromatase in human lung carcinoma. Steroids. 76(8). 759–764. 35 indexed citations

19.

Verma, Mohit, Yasuhiro Miki, & Hironobu Sasano. (2011). Endocrine therapy after aromatase inhibitor therapy in breast cancer. Expert Review of Endocrinology & Metabolism. 6(3). 309–312. 1 indexed citations

20.

Verma, Mohit, Yasuhiro Miki, & Hironobu Sasano. (2011). Sex steroid receptors in human lung diseases. The Journal of Steroid Biochemistry and Molecular Biology. 127(3-5). 216–222. 39 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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