Ayesha Latif

508 total citations
31 papers, 336 citations indexed

About

Ayesha Latif is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Ayesha Latif has authored 31 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 21 papers in Molecular Biology and 6 papers in Biotechnology. Recurrent topics in Ayesha Latif's work include Plant tissue culture and regeneration (9 papers), Insect Resistance and Genetics (9 papers) and Research in Cotton Cultivation (8 papers). Ayesha Latif is often cited by papers focused on Plant tissue culture and regeneration (9 papers), Insect Resistance and Genetics (9 papers) and Research in Cotton Cultivation (8 papers). Ayesha Latif collaborates with scholars based in Pakistan, China and United States. Ayesha Latif's co-authors include Abdul Qayyum Rao, Tayyab Husnaın, Ahmad Ali Shahıd, Naila Shahid, Aneela Yasmeen, Kamran Shehzad Bajwa, Adnan Iqbal, Xue‐De Wang, Muhammad Bilal Sarwar and Idrees Ahmad Nasir and has published in prestigious journals such as Scientific Reports, Frontiers in Plant Science and Planta.

In The Last Decade

Ayesha Latif

29 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayesha Latif Pakistan 12 251 182 52 33 23 31 336
Chaoyi Song China 7 110 0.4× 174 1.0× 70 1.3× 21 0.6× 15 0.7× 12 352
Bushra Rashıd Pakistan 16 550 2.2× 321 1.8× 42 0.8× 31 0.9× 11 0.5× 62 696
Eiko Nakazono‐Nagaoka Japan 10 305 1.2× 114 0.6× 56 1.1× 58 1.8× 5 0.2× 22 336
Laura Margarita López-Castillo Mexico 10 129 0.5× 178 1.0× 26 0.5× 69 2.1× 6 0.3× 20 319
Ning J. Yue China 11 329 1.3× 89 0.5× 33 0.6× 46 1.4× 25 1.1× 17 419
Grazia Licciardello Italy 16 363 1.4× 152 0.8× 21 0.4× 53 1.6× 72 3.1× 51 501
Tsung‐Chun Lin Taiwan 6 150 0.6× 113 0.6× 29 0.6× 12 0.4× 8 0.3× 16 315
Johana Rincones Brazil 12 294 1.2× 212 1.2× 22 0.4× 28 0.8× 9 0.4× 16 538
Viktor Uršič Slovenia 4 161 0.6× 111 0.6× 32 0.6× 6 0.2× 9 0.4× 6 323
Fuguang Li China 12 311 1.2× 197 1.1× 15 0.3× 13 0.4× 10 0.4× 28 391

Countries citing papers authored by Ayesha Latif

Since Specialization
Citations

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

Fields of papers citing papers by Ayesha Latif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayesha Latif

This figure shows the co-authorship network connecting the top 25 collaborators of Ayesha Latif. A scholar is included among the top collaborators of Ayesha Latif 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 Ayesha Latif. Ayesha Latif 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.
Zaman, Nasib, et al.. (2025). Submergence stress in plants: molecular mechanisms, physiological changes, and adaptive responses. Physiology and Molecular Biology of Plants. 31(11). 1853–1866.
3.
Gul, Ambreen, et al.. (2024). The increased aspartate levels in transgenic cotton (Gossypium hirsutum L.) lead to improved tolerance against whitefly (Bemisia tabaci, Gennadius). Physiologia Plantarum. 176(4). e14491–e14491. 1 indexed citations
4.
Usman, Muhammad, et al.. (2024). Energy Consumption and Trade Liberalization: Investigating Performance of Economic Growth for French Economy. Journal of Asian Development Studies. 13(1). 402–411. 1 indexed citations
5.
Shahid, Naila, Nadeem Ahmed, Ayesha Latif, et al.. (2023). Production of proinflammatory cytokines by expressing Newcastle disease vaccine candidates in corn. Journal of King Saud University - Science. 35(3). 102537–102537. 6 indexed citations
6.
Chen, Shengming, et al.. (2023). Investigating resource curse/blessing hypothesis: An empirical insights from Luxembourg, the Netherlands, and Portugal economies. Resources Policy. 83. 103647–103647. 11 indexed citations
7.
Yasmeen, Aneela, Allah Bakhsh, Sara Ajmal, et al.. (2023). CRISPR/Cas9-mediated genome editing in diploid and tetraploid potatoes. Acta Physiologiae Plantarum. 45(2). 2 indexed citations
8.
Shah, Syed Bilal Hussain, et al.. (2022). Penile Fractures: the Successful Outcome of Immediate Surgical Intervention. 16(12). 21–23. 1 indexed citations
9.
Latif, Ayesha, Naila Shahid, Muhammad Rizwan Javed, et al.. (2022). Overexpression of the AGL42 gene in cotton delayed leaf senescence through downregulation of NAC transcription factors. Scientific Reports. 12(1). 21093–21093. 6 indexed citations
10.
Latif, Ayesha, Aneela Yasmeen, Naila Shahid, et al.. (2022). Enhanced expression of plasma membrane intrinsic protein 2 improves cotton fiber length in Gossypium arboreum. Molecular Biology Reports. 49(6). 5419–5426. 3 indexed citations
11.
Hussain, Muzzammil, et al.. (2022). Economic Viability and Profitability Analysis of Mechanical Transplanting of Rice in Rice-Wheat Cropping System of Pakistan. Sarhad Journal of Agriculture. 38(2). 1 indexed citations
12.
Shahıd, Ahmad Ali, et al.. (2022). Tissue specific expression of bacterial cellulose synthase (Bcs) genes improves cotton fiber length and strength. Plant Science. 328. 111576–111576. 7 indexed citations
13.
Nasir, Idrees Ahmad, Mounir G. AbouHaidar, Kathleen Hefferon, et al.. (2021). Novel approaches to circumvent the devastating effects of pests on sugarcane. Scientific Reports. 11(1). 12428–12428. 6 indexed citations
14.
Yasmeen, Aneela, Allah Bakhsh, Ayesha Latif, et al.. (2021). Enhancing the resilience of transgenic cotton for insect resistance. Molecular Biology Reports. 49(6). 5315–5323. 11 indexed citations
15.
Iqbal, Adnan, Ayesha Latif, Muhammad Bilal Sarwar, et al.. (2020). Overexpression of a Sucrose Synthase Gene Indirectly Improves Cotton Fiber Quality Through Sucrose Cleavage. Frontiers in Plant Science. 11. 476251–476251. 38 indexed citations
16.
Gul, Ambreen, Ghulam Hussain, Adnan Iqbal, et al.. (2020). Constitutive expression of Asparaginase in Gossypium hirsutum triggers insecticidal activity against Bemisia tabaci. Scientific Reports. 10(1). 8958–8958. 13 indexed citations
17.
Latif, Ayesha, Abdul Qayyum Rao, Naila Shahid, et al.. (2019). A Combinational Approach of Enhanced Methanol Production and Double Bt Genes for Broad Spectrum Insect Resistance in Transgenic Cotton. Molecular Biotechnology. 61(9). 663–673. 12 indexed citations
18.
Shahıd, Ahmad Ali, et al.. (2015). Defense strategies of cotton against whitefly transmitted CLCuV and Begomoviruses. Advancements in Life Sciences. 2(2). 58–66. 11 indexed citations
19.
Shahıd, Ahmad Ali, et al.. (2014). Genetic effects of Calotropis procera CpTIP1 gene on fiber quality in cotton (Gossypium hirsutum). Advancements in Life Sciences. 1(4). 223–230. 12 indexed citations
20.
Bajwa, Kamran Shehzad, Ahmad Ali Shahıd, Abdul Qayyum Rao, et al.. (2013). Expression of Calotropis procera expansin gene CpEXPA3 enhances cotton fibre strength. Australian Journal of Crop Science. 7(2). 206–212. 22 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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