Ammar Husami

2.8k citations
28 papers · 763 · h-index 14

Impact in

Papers in

    • Genomics and Rare Diseases 8
    • Hemoglobinopathies and Related Disorders 3
    • Genomics and Phylogenetic Studies 2

Ammar Husami

24 papers receiving 758 citations

Peers

Ammar Husami
Comparison fields: 5 of 75
  • Hematology 410
  • Speech and Hearing 86
  • Immunology 230
  • Sensory Systems 38
  • Infectious Diseases 135
Replace Diane Kissell with:
Diane Kissell United States
Rong‐Long Chen Taiwan
Arpita Myles United States
Rémi Dufourcq-Lagelouse France
Carsten Heinz Germany
Bianca Tesi Sweden
Jingshi Wang China
Ebun Aganna United Kingdom
Junichi Hara Japan
Ammar Husami relative to Diane Kissell United States Diane Kissell's profile →
Citations per field
00.5×2.5×
Diane Kissell · 1×
Citations per year

Countries citing papers authored by Ammar Husami

Since Specialization
Citations

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

Fields of papers citing papers by Ammar Husami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014137
2 2019120
3 2015117
4 2014100
5 201042
6 201834
7 201432
8 201328
9 201823
10 201822
11 201421
12 202220
13 202115
14 202114
15 201610
16 20227
17 20136
18 20184
19 20233
20 20223

About Ammar Husami

Ammar Husami is a scholar working on Genetics, Molecular Biology, Hematology, Genetics and Oncology, having authored 28 papers that have together received 763 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (8 papers), Autoimmune and Inflammatory Disorders Research (6 papers), Hemoglobinopathies and Related Disorders (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Cancer Genomics and Diagnostics (2 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers), Genomics and Phylogenetic Studies (2 papers) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Hematology (410 citations), Speech and Hearing (86 citations), Immunology (230 citations), Sensory Systems (38 citations) and Infectious Diseases (135 citations). Ammar Husami has collaborated with scholars based in United States, China and India. Frequent co-authors include Kejian Zhang, Alexei A. Grom, Diane Kissell, Alexandra H. Filipovich, Ndate Fall, Grant S. Schulert, C. Alexander Valencia, Judith A. Johnson, Kenneth M. Kaufman and Shanmuganathan Chandrakasan. Their work appears in journals such as Blood, PLoS ONE, Arthritis & Rheumatology, Journal of the American Medical Informatics Association and npj Genomic Medicine.

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.

Explore authors with similar magnitude of impact