This map shows the geographic impact of Nighat Sarwar'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 Nighat Sarwar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nighat Sarwar more than expected).
This network shows the impact of papers produced by Nighat Sarwar. 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 Nighat Sarwar. The network helps show where Nighat Sarwar may publish in the future.
Co-authorship network of co-authors of Nighat Sarwar
This figure shows the co-authorship network connecting the top 25 collaborators of Nighat Sarwar.
A scholar is included among the top collaborators of Nighat Sarwar 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 Nighat Sarwar. Nighat Sarwar is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Arshad, Hafiz Muhammad Imran, et al.. (2014). Biochemical basis of resistance in rice against Bacterial leaf blight disease caused by Xanthomonas oryzae pv. oryzae. Advancements in Life Sciences. 1(3). 181–190.11 indexed citations
Saleem, Kamran, Shagufta Perveen, Nighat Sarwar, et al.. (2013). IDENTIFICATION OF PHENOLICS IN MANGO LEAVES EXTRACT AND THEIR ALLELOPATHIC EFFECT ON CANARY GRASS AND WHEAT. Pakistan Journal of Botany. 45(5). 1527–1535.16 indexed citations
11.
Akhtar, Khalid Pervaiz, Rahim Ullah, Ismail Khan, et al.. (2013). First symptomatic evidence of infection of Gossypium arboreum with Cotton leaf curl Burewala virus through grafting.. International Journal of Agriculture and Biology. 15(1). 157–160.19 indexed citations
12.
Sarwar, Muhammad, Masood Rabbani, Muhammad Younus, et al.. (2013). Prevalence of Avian Influenza Viruses in live bird markets of Lahore.. The Journal of Animal and Plant Sciences. 23(2). 388–392.7 indexed citations
13.
Sarwar, Nighat, et al.. (2013). Biological pathotyping and rapd analysis of Ascochyta rabiei, from various chickpea growing areas of Pakistan.. The Journal of Animal and Plant Sciences. 23(3). 882–887.3 indexed citations
Sarwar, Nighat, Khalid Pervaiz Akhtar, Tariq Shah, & Babar Manzoor Atta. (2012). Evaluation of chickpea advance genotypes against blight and wilt diseases under field conditions.. International Journal of Agriculture and Biology. 14(6). 993–996.16 indexed citations
16.
Sarwar, Nighat, et al.. (2010). Seed treatments induced systemic resistance in chickpea against fusarium wilt in wilt sick field. Pakistan Journal of Botany. 42(5). 3323–3326.14 indexed citations
Jamil, F. F., Muhammad Kaleem Sarwar, Nighat Sarwar, et al.. (2010). GENOTYPING WITH RAPD MARKERS RESOLVES PATHOTYPE DIVERSITY IN THE ASCOCHYTA BLIGHT AND FUSARIUM WILT PATHOGENS OF CHICKPEA IN PAKISTAN. Pakistan Journal of Botany. 42(2). 1369–1378.17 indexed citations
19.
Sarwar, Nighat, et al.. (2005). INDUCTION OF SYSTEMIC RESISTANCE IN CHICKPEA AGAINST FUSARIUM WILT BY SEED TREATMENT WITH SALICYLIC ACID AND BION. Pakistan Journal of Botany. 37(4). 989–995.25 indexed citations
20.
Sarwar, Nighat, Muhammad Kaleem Sarwar, & F. F. Jamil. (2000). Characterization of Ascochyta rabiei isolates using random amplified polymorphic DNA (RAPD) technique.. Pakistan Journal of Phytopathology. 12(1). 18–25.4 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.