Amin Ullah

931 citations
77 papers · 495 · h-index 13

Impact in

    • Ovarian function and disorders
    • Ovarian cancer diagnosis and treatment
    • Reproductive System and Pregnancy
    • Aquaculture disease management and microbiota

Papers in

    • Hepatitis B Virus Studies 5
    • Liver Disease Diagnosis and Treatment 5
    • Urinary Tract Infections Management 4
    • Reproductive System and Pregnancy 6
    • Immunotherapy and Immune Responses 4

Amin Ullah

64 papers receiving 483 citations

Peers

Amin Ullah
Comparison fields: 5 of 97
  • Reproductive Medicine 60
  • Immunology 140
  • Aquatic Science 38
  • Obstetrics and Gynecology 36
  • Pollution 26
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Amin Ullah relative to Sabhiya Majid India Sabhiya Majid's profile →
Citations per field
00.5×10×15×18×
Sabhiya Majid · 1×
Citations per year

Countries citing papers authored by Amin Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Amin Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201744
2 202042
3 202334
4 201019
5 202418
6 202318
7 202314
8 202414
9 202214
10 202413
11 202313
12 202312
13 202112
14 202411
15 202411
16 202310
17 202310
18 20229
19 20239
20 20229

About Amin Ullah

Amin Ullah is a scholar working on Epidemiology, Immunology, Molecular Biology, Surgery and Infectious Diseases, having authored 77 papers that have together received 495 indexed citations. Recurring topics across this work include Ovarian function and disorders (6 papers), Reproductive System and Pregnancy (6 papers), Hepatitis B Virus Studies (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Diabetes and associated disorders (4 papers), vaccines and immunoinformatics approaches (4 papers), Urinary Tract Infections Management (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Reproductive Medicine (60 citations), Immunology (140 citations), Aquatic Science (38 citations), Obstetrics and Gynecology (36 citations) and Pollution (26 citations). Amin Ullah has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Bairong Shen, Yingxiong Wang, Rajeev K. Singla, Enoch Appiah Adu‐Gyamfi, Meijiao Wang, Amina Zuberi, Muhammad Nasir Khan Khattak, Dan Cao, Wen Ding and Zheng Shi. Their work appears in journals such as Reproductive Sciences, Biology of Reproduction, Journal of King Saud University - Science, Water and Reviews in Endocrine and Metabolic Disorders.

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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