Haiba Kaul

408 citations
33 papers · 320 indexed · h-index 11
Topics
Connexins and lens biology (7 papers)RNA regulation and disease (4 papers)Genetic and phenotypic traits in livestock (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEBiological Trace Element Research

In The Last Decade

Haiba Kaul

30 papers receiving 313 citations

Peers

Haiba Kaul
Comparison fields: 5 of 64
  • Molecular Biology 207
  • Ophthalmology 91
  • Genetics 68
  • Cell Biology 36
  • Radiology, Nuclear Medicine and Imaging 31
Replace Chongfei Jin with:
Chongfei Jin China
Nataliya Lenchik United States
Dibyendu Chakraborty United States
Veronique V. Tran United States
Jegan Iyyathurai United States
Amel Ahmed Egypt
Guangying Zheng China
Sarah Giles United States
Jessica Fuller United States
K Kigasawa Japan
Haiba Kaul relative to Chongfei Jin China Chongfei Jin's profile →
Citations per field
00.5×2.7×
Chongfei Jin · 1×
Citations per year

Countries citing papers authored by Haiba Kaul

Since Specialization
Citations

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

Fields of papers citing papers by Haiba Kaul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiba Kaul

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 1
5 3
6 3
7 2
8 1
9 5
10 1
11 3
12 5
13 9
14 1
15 20
16 1
17 24
18 13
19 1
20
Autosomal recessive congenital cataract linked to EPHA2 in a consanguineous Pakistani family.
87

About Haiba Kaul

Haiba Kaul is a scholar working on Ophthalmology, Genetics and Developmental Biology, having authored 33 papers that have together received 320 indexed citations. Recurring topics across this work include Connexins and lens biology (7 papers), RNA regulation and disease (4 papers) and Genetic and phenotypic traits in livestock (3 papers). The work is most often cited by research in Ophthalmology (91 citations), Molecular Biology (207 citations) and Endocrinology (13 citations). Haiba Kaul has collaborated with scholars based in Pakistan, United Kingdom and United States. Frequent co-authors include Sheikh Riazuddin, J. Fielding Hejtmancik, Tayyab Husnaın, Nadeem Hafeez Butt, Javed Akram, Shaheen N. Khan, Ahmad Usman Zafar, Muhammad Ikram Ullah, Sabika Firasat and Shabbir Hussain. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biological Trace Element Research.

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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