Nagham Kaka

10 total papers · 760 total citations
4 papers, 423 citations indexed

About

Nagham Kaka is a scholar working on Infectious Diseases, Paleontology and Genetics. According to data from OpenAlex, Nagham Kaka has authored 4 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Infectious Diseases, 1 paper in Paleontology and 1 paper in Genetics. Recurrent topics in Nagham Kaka's work include Vitamin C and Antioxidants Research (1 paper), COVID-19 Clinical Research Studies (1 paper) and Brain Metastases and Treatment (1 paper). Nagham Kaka is often cited by papers focused on Vitamin C and Antioxidants Research (1 paper), COVID-19 Clinical Research Studies (1 paper) and Brain Metastases and Treatment (1 paper). Nagham Kaka collaborates with scholars based in Canada, Ireland and United States. Nagham Kaka's co-authors include Pramath Kakodkar, MN Baig, Sunit Das, James Perry, Andrew J. Simpkin, Arjun Sahgal, Melissa M. Holmes, D. Ashley Monks, Quratulain Zulfiqar Ali and Danielle M. Andrade and has published in prestigious journals such as Animal Behaviour, Cancers and Neurology Genetics.

In The Last Decade

Nagham Kaka

3 papers receiving 405 citations

Hit Papers

A Comprehensive Literatur... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Nagham Kaka 196 96 64 45 42 4 423
Mahdi Bagheri 226 1.2× 102 1.1× 61 1.0× 108 2.4× 51 1.2× 10 371
José Antonio Hersan Nadal 170 0.9× 47 0.5× 27 0.4× 31 0.7× 16 0.4× 10 454
Anupama Ramakanth Pai 259 1.3× 195 2.0× 32 0.5× 45 1.0× 8 0.2× 9 426
Shibing Fan 260 1.3× 160 1.7× 51 0.8× 42 0.9× 28 0.7× 5 371
Sujan Badal 226 1.2× 91 0.9× 56 0.9× 90 2.0× 30 0.7× 6 425
Jianlei Lv 344 1.8× 165 1.7× 20 0.3× 58 1.3× 8 0.2× 10 493
Yanlong Hou 257 1.3× 110 1.1× 16 0.3× 30 0.7× 8 0.2× 6 447
Wanrong Lu 198 1.0× 72 0.8× 50 0.8× 61 1.4× 25 0.6× 7 376
C K Ng 219 1.1× 146 1.5× 26 0.4× 20 0.4× 11 0.3× 8 414
Laura Zhao 299 1.5× 120 1.3× 13 0.2× 33 0.7× 11 0.3× 4 392

Countries citing papers authored by Nagham Kaka

Since Specialization
Citations

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

Fields of papers citing papers by Nagham Kaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nagham Kaka

This figure shows the co-authorship network connecting the top 25 collaborators of Nagham Kaka. A scholar is included among the top collaborators of Nagham Kaka 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 Nagham Kaka. Nagham Kaka 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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