Ghady Haidar

6.0k citations
51 papers · 2.2k indexed · 1 hit paper · h-index 22

Impact in

Papers in

Ghady Haidar

48 papers receiving 2.1k citations

Hit Papers

Recurrent deletions in the SARS-CoV-2 spike glycoprotein drive antibody escape 2021 · 332 citations
3322021202620222024100200300

Peers

Ghady Haidar
Comparison fields: 5 of 99
  • Molecular Medicine 946
  • Applied Microbiology and Biotechnology 319
  • Infectious Diseases 746
  • Pharmacology 666
  • Endocrinology 161
Replace Yeon-Joon Park with:
Yeon-Joon Park South Korea
Robin Isaacs United States
Axel Kola Germany
Felicia Ruffin United States
Gökhan Metan Türkiye
Amy Schneider United States
Anna Skiada Greece
G. Młynarczyk Poland
Kalen Jacobson United States
Pedro Puerta‐Alcalde Spain
Ghady Haidar relative to Yeon-Joon Park South Korea Yeon-Joon Park's profile →
Citations per field
00.5×3.6×
Yeon-Joon Park · 1×
Citations per year

Countries citing papers authored by Ghady Haidar

Since Specialization
Citations

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

Fields of papers citing papers by Ghady Haidar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20248
3 20244
4 20249
5 20242
6 20230
7 202323
8 20235
9 20232
10 20231
11
Recurrent deletions in the SARS-CoV-2 spike glycoprotein drive antibody escape
Hit paper breakdown →
2021332
12 2021107
13 20218
14 20210
15 20204
16 201963
17 201914
18 201929
19 20191
20 201611

About Ghady Haidar

Ghady Haidar is a scholar working on Molecular Medicine, Transplantation, Infectious Diseases, Applied Microbiology and Biotechnology and Epidemiology, having authored 51 papers that have together received 2.2k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (12 papers), Antibiotic Resistance in Bacteria (11 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Pneumocystis jirovecii pneumonia detection and treatment (8 papers), Antifungal resistance and susceptibility (8 papers), COVID-19 Clinical Research Studies (8 papers), Fungal Infections and Studies (6 papers) and Renal Transplantation Outcomes and Treatments (5 papers). The work is most often cited by research in Molecular Medicine (946 citations), Applied Microbiology and Biotechnology (319 citations), Infectious Diseases (746 citations), Pharmacology (666 citations) and Endocrinology (161 citations). Ghady Haidar has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Ryan K. Shields, Cornelius J. Clancy, M. Hong Nguyen, Binghua Hao, Nina Singh, Barry N. Kreiswirth, Liang Chen, Ellen G. Press, Yohei Doi and Brian A. Potoski. Their work appears in journals such as Open Forum Infectious Diseases, Clinical Infectious Diseases, Antimicrobial Agents and Chemotherapy, Journal of Fungi and Clinical Transplantation.

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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