Neyaz Alam

4.7k total citations
56 papers, 1.4k citations indexed

About

Neyaz Alam is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Neyaz Alam has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 17 papers in Oncology and 14 papers in Cancer Research. Recurrent topics in Neyaz Alam's work include RNA modifications and cancer (7 papers), Epigenetics and DNA Methylation (6 papers) and Genetic factors in colorectal cancer (6 papers). Neyaz Alam is often cited by papers focused on RNA modifications and cancer (7 papers), Epigenetics and DNA Methylation (6 papers) and Genetic factors in colorectal cancer (6 papers). Neyaz Alam collaborates with scholars based in India, United States and United Kingdom. Neyaz Alam's co-authors include Susanta Roychoudhury, Chinmay Kumar Panda, Anup Roy, S. E. Olpin, I.M. Leigh, Nupur Mukherjee, Ian Tomlinson, Satyabrata Sinha, David P. Kelsell and Andrew Rowan and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Neyaz Alam

53 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neyaz Alam India 21 962 387 381 362 161 56 1.4k
Yuxiang Liang China 22 898 0.9× 336 0.9× 513 1.3× 293 0.8× 114 0.7× 76 1.5k
Dai Shimizu Japan 25 980 1.0× 545 1.4× 349 0.9× 560 1.5× 405 2.5× 136 1.8k
Lin Guo China 21 731 0.8× 180 0.5× 440 1.2× 332 0.9× 96 0.6× 71 1.3k
Chaogang Yang China 26 1.1k 1.2× 419 1.1× 870 2.3× 877 2.4× 139 0.9× 46 2.4k
Zai‐yuan Ye China 25 907 0.9× 279 0.7× 533 1.4× 338 0.9× 293 1.8× 72 1.6k
Vladimir Kravtsov Israel 12 604 0.6× 294 0.8× 226 0.6× 852 2.4× 107 0.7× 35 1.9k
Hiroya Oka Japan 15 1.1k 1.2× 350 0.9× 252 0.7× 426 1.2× 192 1.2× 52 1.7k
Jun Cao China 23 810 0.8× 336 0.9× 418 1.1× 562 1.6× 113 0.7× 74 1.6k
F. Javier Carmona Spain 18 1.1k 1.2× 151 0.4× 478 1.3× 262 0.7× 168 1.0× 25 1.6k

Countries citing papers authored by Neyaz Alam

Since Specialization
Citations

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

Fields of papers citing papers by Neyaz Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neyaz Alam

This figure shows the co-authorship network connecting the top 25 collaborators of Neyaz Alam. A scholar is included among the top collaborators of Neyaz Alam 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 Neyaz Alam. Neyaz Alam 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.
Mazumder, Suparna, et al.. (2024). Precision Oncology in the Era of Genomics and Artificial Intelligence. 1(1). 22–30. 2 indexed citations
3.
Roy, Kamalika, Avishek Bhuniya, Saptak Banerjee, et al.. (2023). Terminally Exhausted CD8+ T Cells Resistant to PD-1 Blockade Promote Generation and Maintenance of Aggressive Cancer Stem Cells. Cancer Research. 83(11). 1815–1833. 16 indexed citations
4.
Alam, Neyaz, et al.. (2022). Lupeol and Paclitaxel cooperate in hindering hypoxia induced vasculogenic mimicry via suppression of HIF-1α-EphA2-Laminin-5γ2 network in human oral cancer. Journal of Cell Communication and Signaling. 17(3). 591–608. 14 indexed citations
5.
Alam, Neyaz, et al.. (2022). Differential promoter usages of PTCH1 and down regulation of HHIP are associated with HNSCC progression. Pathology - Research and Practice. 232. 153827–153827. 6 indexed citations
6.
Ghosh, Tithi, Avishek Bhuniya, Partha Nandi, et al.. (2021). RGS5–TGFβ–Smad2/3 axis switches pro- to anti-apoptotic signaling in tumor-residing pericytes, assisting tumor growth. Cell Death and Differentiation. 28(11). 3052–3076. 29 indexed citations
7.
Alam, Neyaz, et al.. (2020). Chewing tobacco may act as a risk factor for dysplastic transformation of squamous cells in Oral leukoplakia- A cytochemistry based approach. Pathology - Research and Practice. 218. 153287–153287. 3 indexed citations
8.
Alam, Neyaz, et al.. (2019). Phosphorylation of EphA2 receptor and vasculogenic mimicry is an indicator of poor prognosis in invasive carcinoma of the breast. Breast Cancer Research and Treatment. 179(2). 359–370. 28 indexed citations
9.
10.
Islam, Md. Saimul, et al.. (2018). Induction of HRR genes and inhibition of DNMT1 is associated with anthracycline anti-tumor antibiotic-tolerant breast carcinoma cells. Molecular and Cellular Biochemistry. 453(1-2). 163–178. 4 indexed citations
11.
Islam, S. M. Ashiqul, Anirban Roychowdhury, R.K. Bhattacharya, et al.. (2017). Study of association and molecular analysis of human papillomavirus in breast cancer of Indian patients: Clinical and prognostic implication. PLoS ONE. 12(2). e0172760–e0172760. 49 indexed citations
12.
Bhattacharya, R.K., Nupur Mukherjee, Md. Saimul Islam, et al.. (2016). Frequent alterations of SLIT2–ROBO1–CDC42 signalling pathway in breast cancer: clinicopathological correlation. Journal of Genetics. 95(3). 551–563. 9 indexed citations
13.
Mukherjee, Nupur, R.K. Bhattacharya, Debolina Pal, et al.. (2016). Frequent inactivation of MCC/CTNNBIP1 and overexpression of phospho-beta-catenin Y654 are associated with breast carcinoma: Clinical and prognostic significance. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1862(9). 1472–1484. 20 indexed citations
14.
Mukherjee, Nupur, et al.. (2011). EXPRESSION OF CONCERN: Subtype‐specific alterations of the Wnt signaling pathway in breast cancer: Clinical and prognostic significance. Cancer Science. 103(2). 210–220. 68 indexed citations
15.
Sinha, Satyabrata, Ratnesh Singh, Neyaz Alam, et al.. (2008). Alterations in candidate genes PHF2, FANCC, PTCH1 and XPA at chromosomal 9q22.3 region: Pathological significance in early- and late-onset breast carcinoma. Molecular Cancer. 7(1). 84–84. 60 indexed citations
16.
Ghosh, Susmita, Amlan Ghosh, Guru Prasad Maiti, et al.. (2008). Alterations of 3p21.31 tumor suppressor genes in head and neck squamous cell carcinoma: Correlation with progression and prognosis. International Journal of Cancer. 123(11). 2594–2604. 44 indexed citations
17.
Wortham, Noel C., Neyaz Alam, Ella Barclay, et al.. (2006). Aberrant expression of apoptosis proteins and ultrastructural aberrations in uterine leiomyomas from patients with hereditary leiomyomatosis and renal cell carcinoma. Fertility and Sterility. 86(4). 961–971. 7 indexed citations
18.
Alam, Neyaz, Ella Barclay, Andrew Rowan, et al.. (2005). Clinical Features of Multiple Cutaneous and Uterine Leiomyomatosis. Archives of Dermatology. 141(2). 199–206. 127 indexed citations
19.
Alam, Neyaz, S. E. Olpin, & I.M. Leigh. (2005). Fumarate hydratase mutations and predisposition to cutaneous leiomyomas, uterine leiomyomas and renal cancer. British Journal of Dermatology. 153(1). 11–17. 94 indexed citations
20.
Alam, Neyaz, S. E. Olpin, Andrew Rowan, et al.. (2005). Missense Mutations in Fumarate Hydratase in Multiple Cutaneous and Uterine Leiomyomatosis and Renal Cell Cancer. Journal of Molecular Diagnostics. 7(4). 437–443. 49 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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