Haitham Saeed

53 papers receiving 1.0k citations

Haitham Saeed's Hit Papers

Assessment and characterisation of post‐COVID‐19 manifestations 2020 · 381 citations
3810+2+4Years since publication100200300

Peers

Haitham Saeed
Comparison fields: 5 of 114
  • Neurology 250
  • Applied Microbiology and Biotechnology 22
  • Pharmaceutical Science 74
  • Pulmonary and Respiratory Medicine 304
  • Critical Care and Intensive Care Medicine 42
Replace Yan Kang with:
Yan Kang China
Paolo Pelosi Italy
Zhirong Yang China
Goverdhan Dutt Puri India
Toshie Manabe Japan
Frank K. Friedenberg United States
Jessica E. Ericson United States
Μαρία Θεοδωρακοπούλου Greece
Seung Won South Korea
Erik Solligård Norway
Haitham Saeed relative to Yan Kang China Yan Kang's profile →
Citations per field
00.5×10×14.8×
Yan Kang · 1×
Citations per year

Countries citing papers authored by Haitham Saeed

Since Specialization
Citations

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

Fields of papers citing papers by Haitham Saeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Assessment and characterisation of post‐COVID‐19 manifestations
Hit paper breakdown →
2020381
2 202149
3 201739
4 202137
5 202135
6 201834
7 201834
8 201834
9 202233
10 201930
11 202127
12 201726
13 202125
14 202025
15 201825
16 202223
17 202023
18 202018
19 201918
20 202018

About Haitham Saeed

Haitham Saeed is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Physiology, Infectious Diseases and Molecular Biology, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Inhalation and Respiratory Drug Delivery (26 papers), Respiratory Support and Mechanisms (6 papers), Asthma and respiratory diseases (5 papers), Platelet Disorders and Treatments (3 papers), COVID-19 Clinical Research Studies (3 papers), Blood groups and transfusion (3 papers), COVID-19 epidemiological studies (2 papers) and Hedgehog Signaling Pathway Studies (2 papers). The work is most often cited by research in Neurology (250 citations), Applied Microbiology and Biotechnology (22 citations), Pharmaceutical Science (74 citations), Pulmonary and Respiratory Medicine (304 citations) and Critical Care and Intensive Care Medicine (42 citations). Haitham Saeed has collaborated with scholars based in Egypt, Saudi Arabia and Iraq. Frequent co-authors include Marwa Kamal, Marwa Hanafy Abo Omirah, Amal Hussein, Mohamed E. A. Abdelrahim, Hoda Rabea, Heba F. Salem, Amr Gamal Fouad, Hasnaa Osama, Ahmed A. Elberry and Hadeer S. Harb. Their work appears in journals such as International Journal of Clinical Practice, Journal of Drug Delivery Science and Technology, Pharmaceutics, Journal of Asthma and Respiratory Care.

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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