Chikwe Ihekweazu

13.2k citations
136 papers · 4.6k indexed · 4 hit papers · h-index 30
Topics
Viral Infections and Outbreaks Research (56 papers)COVID-19 epidemiological studies (32 papers)Disaster Response and Management (20 papers)

In The Last Decade

Chikwe Ihekweazu

129 papers receiving 4.5k citations

Hit Papers

COVID-19: towards controlling of a pandemic201920262021202320202019202020212505007501000

Peers

Chikwe Ihekweazu
Comparison fields: 5 of 171
  • Epidemiology 1.6k
  • Infectious Diseases 1.5k
  • Virology 1.2k
  • Molecular Biology 1.1k
  • Modeling and Simulation 803
Replace Mark J. Siedner with:
Mark J. Siedner United States
Philippe Gautret France
Eskild Petersen Denmark
Alfonso J. Rodríguez‐Morales Colombia
Johan Giesecke Sweden
T. Déirdre Hollingsworth United Kingdom
Ranjit Sah Nepal
Martin I. Meltzer United States
Thomas V. Inglesby United States
William J. Moss United States
Chikwe Ihekweazu relative to Mark J. Siedner United States Mark J. Siedner's profile →
Citations per field
00.5×5.3×
Mark J. Siedner · 1×
Citations per year

Countries citing papers authored by Chikwe Ihekweazu

Since Specialization
Citations

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

Fields of papers citing papers by Chikwe Ihekweazu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chikwe Ihekweazu

This figure shows the co-authorship network connecting the top 25 collaborators of Chikwe Ihekweazu. A scholar is included among the top collaborators of Chikwe Ihekweazu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chikwe Ihekweazu. Chikwe Ihekweazu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 7
5 4
6 5
7 27
8 5
9 1
10 5
11 6
12 14
13 1
14 2
15 3
16 29
17 10
18 13
19 201
20 29

About Chikwe Ihekweazu

Chikwe Ihekweazu is a scholar working on Modeling and Simulation, Infectious Diseases and Emergency Medical Services, having authored 136 papers that have together received 4.6k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (56 papers), COVID-19 epidemiological studies (32 papers) and Disaster Response and Management (20 papers). The work is most often cited by research in Virology (1.2k citations), Modeling and Simulation (803 citations) and Infectious Diseases (1.5k citations). Chikwe Ihekweazu has collaborated with scholars based in Nigeria, United Kingdom and United States. Frequent co-authors include Juliet Bedford, Adesola Yinka-Ogunleye, Marion Koopmans, Dominique Heymann, Lothar H. Wieler, Amadou Alpha Sall, Delia Enría, Ziad A. Memish, Myoung‐don Oh and Anne Schuchat. Their work appears in journals such as Nature, The Lancet and Nature 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.

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