Pakeeza Iqbal

17 total papers · 568 total citations
9 papers, 209 citations indexed

About

Pakeeza Iqbal is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Pakeeza Iqbal has authored 9 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Agronomy and Crop Science. Recurrent topics in Pakeeza Iqbal's work include Climate change impacts on agriculture (6 papers), Crop Yield and Soil Fertility (3 papers) and Sugarcane Cultivation and Processing (2 papers). Pakeeza Iqbal is often cited by papers focused on Climate change impacts on agriculture (6 papers), Crop Yield and Soil Fertility (3 papers) and Sugarcane Cultivation and Processing (2 papers). Pakeeza Iqbal collaborates with scholars based in Pakistan, Sweden and United States. Pakeeza Iqbal's co-authors include Zartash Fatima, Ghulam Abbas, Mukhtar Ahmed, Shakeel Ahmad, Sajjad Hussain, Muhammad Arif Ali, Sami Ul‐Allah, Niaz Ahmed, Mubshar Hussain and Ghulam Sarwar and has published in prestigious journals such as Scientific Reports, Potato Research and International Journal of Agriculture and Biology.

In The Last Decade

Pakeeza Iqbal

9 papers receiving 199 citations

Hit Papers

The fingerprints of clima... 2020 2026 2022 2024 2020 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pakeeza Iqbal 142 69 50 33 33 9 209
Sana Ullah 139 1.0× 44 0.6× 22 0.4× 23 0.7× 19 0.6× 7 249
John Addy 81 0.6× 36 0.5× 37 0.7× 37 1.1× 19 0.6× 13 178
Hàoliàng Yán 216 1.5× 83 1.2× 51 1.0× 35 1.1× 25 0.8× 19 286
Yujing Gao 101 0.7× 68 1.0× 34 0.7× 31 0.9× 27 0.8× 5 145
Jose Rafael Guarin 162 1.1× 31 0.4× 44 0.9× 28 0.8× 21 0.6× 10 220
Marcello Ermido Chiodini 72 0.5× 34 0.5× 52 1.0× 21 0.6× 37 1.1× 12 206
Gina Lopez 175 1.2× 29 0.4× 41 0.8× 16 0.5× 64 1.9× 9 257
Lin Liu 133 0.9× 144 2.1× 91 1.8× 63 1.9× 45 1.4× 11 292
Daniele Ribeiro Contin 136 1.0× 31 0.4× 79 1.6× 65 2.0× 22 0.7× 15 261
Fernando Aramburu-Merlos 166 1.2× 69 1.0× 122 2.4× 33 1.0× 31 0.9× 11 280

Countries citing papers authored by Pakeeza Iqbal

Since Specialization
Citations

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

Fields of papers citing papers by Pakeeza Iqbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pakeeza Iqbal

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

All Works

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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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