Maxim C.‐J. Cheeran

3.8k citations
57 papers · 2.8k indexed · 1 hit paper · h-index 28
Topics
Neuroinflammation and Neurodegeneration Mechanisms (23 papers)Cytomegalovirus and herpesvirus research (13 papers)Characterization and Applications of Magnetic Nanoparticles (8 papers)

In The Last Decade

Maxim C.‐J. Cheeran

55 papers receiving 2.8k citations

Hit Papers

Role of Microglia in Central Nervous System Infections20042026201120182004100200300400500

Peers

Maxim C.‐J. Cheeran
Comparison fields: 5 of 128
  • Epidemiology 951
  • Neurology 895
  • Immunology 690
  • Infectious Diseases 619
  • Molecular Biology 570
Replace Debasis Nayak with:
Debasis Nayak India
Andrew G. MacLean United States
Arun Venkatesan United States
Manoj K. Mishra United States
Guoji Wang United States
You Zhou United States
Béhazine Combadière France
Tibor Vályi-Nagy United States
Guoku Hu United States
Paweł Ciborowski United States
Maxim C.‐J. Cheeran relative to Debasis Nayak India Debasis Nayak's profile →
Citations per field
00.5×1.5×2.5×
Debasis Nayak · 1×
Citations per year

Countries citing papers authored by Maxim C.‐J. Cheeran

Since Specialization
Citations

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

Fields of papers citing papers by Maxim C.‐J. Cheeran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maxim C.‐J. Cheeran. 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 Maxim C.‐J. Cheeran. The network helps show where Maxim C.‐J. Cheeran may publish in the future.

Co-authorship network of co-authors of Maxim C.‐J. Cheeran

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim C.‐J. Cheeran. A scholar is included among the top collaborators of Maxim C.‐J. Cheeran 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 Maxim C.‐J. Cheeran. Maxim C.‐J. Cheeran 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 13
5 10
6 62
7 29
8 9
9 56
10 8
11 22
12 12
13 71
14 29
15 32
16 106
17 18
18 64
19 62
20 40

About Maxim C.‐J. Cheeran

Maxim C.‐J. Cheeran is a scholar working on Neurology, Developmental Neuroscience and Infectious Diseases, having authored 57 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (23 papers), Cytomegalovirus and herpesvirus research (13 papers) and Characterization and Applications of Magnetic Nanoparticles (8 papers). The work is most often cited by research in Neurology (895 citations), Biological Psychiatry (141 citations) and Developmental Neuroscience (165 citations). Maxim C.‐J. Cheeran has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Shuxian Hu, James R. Lokensgard, James R. Lokensgard, Phillip K. Peterson, Wen S. Sheng, Genya Gekker, Mark R. Schleiss, R. Bryan Rock, Venkatramana D. Krishna and Joseph M. Palmquist. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Analytical Chemistry.

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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