Huma Asif

537 citations
25 papers · 335 · h-index 11

Impact in

Papers in

    • Genomics and Phylogenetic Studies 5
    • CRISPR and Genetic Engineering 3
    • Epigenetics and DNA Methylation 2
    • Genomics and Rare Diseases 3

Huma Asif

23 papers receiving 333 citations

Peers

Huma Asif
Comparison fields: 5 of 80
  • Biological Psychiatry 66
  • Gastroenterology 22
  • Molecular Biology 191
  • Parasitology 17
  • Obstetrics and Gynecology 20
Replace Ayele Argaw-Denboba with:
Ayele Argaw-Denboba Italy
Jeremy D. Bartos United States
Adam T. Hagymasi United States
Rongze Wang China
Justin L. Eddy United States
Panagiota Stamou Greece
Ana Paula Elias Portugal
Eric Evans United States
Andrew E. Rosselot United States
Weihong Gu China
Huma Asif relative to Ayele Argaw-Denboba Italy Ayele Argaw-Denboba's profile →
Citations per field
00.5×8.5×
Ayele Argaw-Denboba · 1×
Citations per year

Countries citing papers authored by Huma Asif

Since Specialization
Citations

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

Fields of papers citing papers by Huma Asif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Huma Asif, 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 Asif Line = papers co-authored together Huma Asif links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202081
2 202029
3 202024
4 201618
5 201817
6 202216
7 201616
8 201815
9 201315
10 201011
11 201610
12 201710
13
Isolation and 16S rDNA sequence analysis of bacteria from dieback affected mango orchards in southern Pakistan.
20149
14 20139
15 20229
16 20168
17 20148
18 20218
19 20135
20 20225

About Huma Asif

Huma Asif is a scholar working on Molecular Biology, Genetics, Cancer Research, Obstetrics and Gynecology and Plant Science, having authored 25 papers that have together received 335 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), CRISPR and Genetic Engineering (3 papers), Genomics and Rare Diseases (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), Tryptophan and brain disorders (2 papers), Epigenetics and DNA Methylation (2 papers), Schizophrenia research and treatment (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Biological Psychiatry (66 citations), Gastroenterology (22 citations), Molecular Biology (191 citations), Parasitology (17 citations) and Obstetrics and Gynecology (20 citations). Huma Asif has collaborated with scholars based in United States, Brazil and Pakistan. Frequent co-authors include M. Kamran Azim, Asifullah Khan, Zongchang Li, Chunwang Li, Ying Hé, Ke Jin, Jinsong Tang, Honghong Ren, Xiaoqian Ma and Ishtiaq Ahmad Khan. Their work appears in journals such as Microbial Pathogenesis, Neurobiology of Aging, Scientific Reports, Journal of Psychiatric Research and Molecular Oncology.

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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