Saife N. Lone

1.0k total citations · 1 hit paper
8 papers, 680 citations indexed

About

Saife N. Lone is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Saife N. Lone has authored 8 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cancer Research and 1 paper in Infectious Diseases. Recurrent topics in Saife N. Lone's work include RNA modifications and cancer (4 papers), MicroRNA in disease regulation (3 papers) and RNA Research and Splicing (3 papers). Saife N. Lone is often cited by papers focused on RNA modifications and cancer (4 papers), MicroRNA in disease regulation (3 papers) and RNA Research and Splicing (3 papers). Saife N. Lone collaborates with scholars based in India, Qatar and United States. Saife N. Lone's co-authors include Muzafar A. Macha, Mohammad Haris, Sabah Nisar, Wael El‐Rifai, Ajaz A. Bhat, Mayank Singh, Tariq Masoodi, Davide Bedognetti, Sheema Hashem and Arshi Rizwan and has published in prestigious journals such as Biochemical Journal, Molecular Cancer and Journal of Cellular Physiology.

In The Last Decade

Saife N. Lone

8 papers receiving 669 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Liquid biopsy: a step closer to transform diagnosis, prognosis and future of cancer treatments

2022 494 citations Saife N. Lone, Sabah Nisar et al. Molecular Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Saife N. Lone India	8	429	344	143	114	89	8	680
Anna Babayan Germany	10	437 1.0×	522 1.5×	270 1.9×	108 0.9×	87 1.0×	13	739
Elena Castellanos-Rizaldos United States	11	529 1.2×	475 1.4×	127 0.9×	144 1.3×	88 1.0×	17	692
Jennifer Jackson United States	12	247 0.6×	204 0.6×	197 1.4×	176 1.5×	88 1.0×	27	565
Biting Zhou China	6	519 1.2×	321 0.9×	74 0.5×	72 0.6×	101 1.1×	11	638
Nina Raulf United Kingdom	9	482 1.1×	250 0.7×	200 1.4×	75 0.7×	34 0.4×	13	696
Liman Qiu China	13	311 0.7×	237 0.7×	171 1.2×	108 0.9×	59 0.7×	21	633
Taija M. af Hällström Finland	10	426 1.0×	222 0.6×	203 1.4×	112 1.0×	104 1.2×	13	620
Mitsuharu Hirai Japan	15	297 0.7×	237 0.7×	326 2.3×	219 1.9×	73 0.8×	29	690
Xihu Yang China	15	385 0.9×	193 0.6×	214 1.5×	65 0.6×	48 0.5×	35	716
Rekha Gyanchandani United States	10	210 0.5×	164 0.5×	204 1.4×	108 0.9×	153 1.7×	11	524

Countries citing papers authored by Saife N. Lone

Since Specialization

Citations

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

Fields of papers citing papers by Saife N. Lone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saife N. Lone. 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 Saife N. Lone. The network helps show where Saife N. Lone may publish in the future.

Co-authorship network of co-authors of Saife N. Lone

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

All Works

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8 of 8 papers shown

1.

Lone, Saife N., Sabah Nisar, Tariq Masoodi, et al.. (2022). Liquid biopsy: a step closer to transform diagnosis, prognosis and future of cancer treatments. Molecular Cancer. 21(1). 79–79. 494 indexed citations breakdown →

2.

Bhat, Ajaz A., Sabah Nisar, Soumi Mukherjee, et al.. (2022). Integration of CRISPR/Cas9 with artificial intelligence for improved cancer therapeutics. Journal of Translational Medicine. 20(1). 534–534. 55 indexed citations

3.

Lone, Saife N., Ajaz A. Bhat, Nissar Ahmad Wani, et al.. (2021). miRNAs as novel immunoregulators in cancer. Seminars in Cell and Developmental Biology. 124. 3–14. 19 indexed citations

4.

Lone, Saife N., et al.. (2018). Triose‐phosphate isomerase is a novel target of miR‐22 and miR‐28, with implications in tumorigenesis. Journal of Cellular Physiology. 233(11). 8919–8929. 21 indexed citations

5.

Lone, Saife N. & Mahboob Ul Hussain. (2018). Role of GW182 protein in the cell. The International Journal of Biochemistry & Cell Biology. 101. 29–38. 24 indexed citations

6.

Lone, Saife N.. (2018). The AGO proteins: an overview. Biological Chemistry. 399(6). 525–547. 35 indexed citations

7.

Lone, Saife N., et al.. (2016). Post-transcriptional regulation of the tumor suppressor p53 by a novel miR-27a, with implications during hypoxia and tumorigenesis. Biochemical Journal. 473(20). 3597–3610. 12 indexed citations

8.

Lone, Saife N., et al.. (2015). The carboxy-terminal domain of connexin 43 (CT-Cx43) modulates the expression of p53 by altering miR-125b expression in low-grade human breast cancers. Cellular Oncology. 38(6). 443–451. 20 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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