Huma Naz

1.0k citations
50 papers · 781 indexed · h-index 15

Impact in

Papers in

Huma Naz

43 papers receiving 779 citations

Peers

Huma Naz
Comparison fields: 5 of 103
  • Toxicology 25
  • Biochemistry 43
  • Cancer Research 92
  • Computational Theory and Mathematics 87
  • Molecular Biology 367
Replace Shakti Prasad Pattanayak with:
Shakti Prasad Pattanayak India
Malek Zihlif Jordan
Lijuan Chen China
Yuan Liang China
Youn Kyung Choi South Korea
Thikryat Neamatallah Saudi Arabia
Věra Králová Czechia
P. R. Deepa India
Md Sohel Bangladesh
Ranganatha R. Somasagara United States
Huma Naz relative to Shakti Prasad Pattanayak India Shakti Prasad Pattanayak's profile →
Citations per field
00.5×1.5×
Shakti Prasad Pattanayak · 1×
Citations per year

Countries citing papers authored by Huma Naz

Since Specialization
Citations

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

Fields of papers citing papers by Huma Naz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Huma Naz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Huma Naz Line = papers co-authored together Huma Naz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201987
2 201571
3 201670
4 201763
5 202262
6 201840
7 202039
8 201936
9 201535
10 201632
11 201630
12 201630
13 201929
14 202326
15 202418
16 201713
17
Impact of heavy metal toxicity to plant growth and nodulation in chickpea grown under heavy metal stress
201512
18 202011
19 20209
20 20208

About Huma Naz

Huma Naz is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Infectious Diseases, Pollution and Plant Science, having authored 50 papers that have together received 781 indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (11 papers), Leprosy Research and Treatment (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Natural product bioactivities and synthesis (3 papers), Phytochemical compounds biological activities (3 papers), Mycobacterium research and diagnosis (3 papers), Enzyme Structure and Function (3 papers) and Pharmaceutical and Antibiotic Environmental Impacts (2 papers). The work is most often cited by research in Toxicology (25 citations), Biochemistry (43 citations), Cancer Research (92 citations), Computational Theory and Mathematics (87 citations) and Molecular Biology (367 citations). Huma Naz has collaborated with scholars based in India, Pakistan and Saudi Arabia. Frequent co-authors include Md. Imtaiyaz Hassan, Mohammad Tarique, Faizan Ahmad, Asimul Islam, Parvez Κhan, Shahzaib Ahamad, Mohd Suhail, Suaib Luqman, Naoshad Muhammad and Ehtesham Jameel. Their work appears in journals such as Frontiers in Immunology, International Journal of Biological Macromolecules, Journal of Biomolecular Structure and Dynamics, Journal of Cellular Biochemistry and Biochemistry and Cell Biology.

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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