Geehan Suleyman

2.6k citations
51 papers · 999 · 1 hit paper · h-index 10

Impact in

Papers in

Geehan Suleyman

41 papers receiving 961 citations

Geehan Suleyman's Hit Papers

Clinical Characteristics and Morbidity Associated With Coronavirus Disease 2019 in a Series of Patients in Metropolitan Detroit 2020 · 456 citations
4560+2+4Years since publication100200300400

Peers

Geehan Suleyman
Comparison fields: 5 of 124
  • Infectious Diseases 632
  • Applied Microbiology and Biotechnology 58
  • General Dentistry 33
  • Critical Care and Intensive Care Medicine 79
  • Neurology 229
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Geehan Suleyman relative to Kevin Katz Canada Kevin Katz's profile →
Citations per field
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Citations per year

Countries citing papers authored by Geehan Suleyman

Since Specialization
Citations

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

Fields of papers citing papers by Geehan Suleyman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinical Characteristics and Morbidity Associated With Coronavirus Disease 2019 in a Series of Patients in Metropolitan Detroit
Hit paper breakdown →
2020456
2 2018195
3 2016116
4 202160
5 202022
6 201618
7 202017
8 202213
9 201511
10 201610
11 20169
12 20209
13 20218
14 20218
15 20235
16 20225
17 20243
18 20233
19 20173
20 20212

About Geehan Suleyman

Geehan Suleyman is a scholar working on Infectious Diseases, Epidemiology, Clinical Biochemistry, Critical Care and Intensive Care Medicine and Neurology, having authored 51 papers that have together received 999 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (8 papers), COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (6 papers), Nosocomial Infections in ICU (6 papers), COVID-19 and healthcare impacts (6 papers), Urinary Tract Infections Management (5 papers), Antibiotic Resistance in Bacteria (5 papers) and Antifungal resistance and susceptibility (4 papers). The work is most often cited by research in Infectious Diseases (632 citations), Applied Microbiology and Biotechnology (58 citations), General Dentistry (33 citations), Critical Care and Intensive Care Medicine (79 citations) and Neurology (229 citations). Geehan Suleyman has collaborated with scholars based in United States, Canada and United Arab Emirates. Frequent co-authors include George Alangaden, Ana Cecilia Bardossy, Marcus Zervos, Indira Brar, Raef Fadel, Carina Dagher, Joseph Miller, Kelly Malette, Zachary Demertzis and Mayur Ramesh. Their work appears in journals such as Open Forum Infectious Diseases, Infection Control and Hospital Epidemiology, American Journal of Infection Control, Journal of Infection and Public Health and Infectious Disease Clinics of North America.

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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