Nimi Marcel

551 citations
16 papers · 420 · h-index 12

Impact in

Papers in

    • RNA Research and Splicing 2
    • Epigenetics and DNA Methylation 2
    • FOXO transcription factor regulation 2
    • RNA Interference and Gene Delivery 2
    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 5

Nimi Marcel

16 papers receiving 418 citations

Peers

Nimi Marcel
Comparison fields: 5 of 76
  • Molecular Medicine 29
  • Infectious Diseases 89
  • Immunology 103
  • Geriatrics and Gerontology 13
  • Epidemiology 94
Replace Kimberly K. Kajihara with:
Kimberly K. Kajihara United States
Mary Coons United States
Christine Polte Germany
Yoshihiko Kuchitsu Japan
Maria Chiara Nardi Italy
Bidyut K. Mohanty United States
Daniel R. Rojo United States
Rolf Kraehenbuehl United Kingdom
Nimi Marcel relative to Kimberly K. Kajihara United States Kimberly K. Kajihara's profile →
Citations per field
00.5×3.5×
Kimberly K. Kajihara · 1×
Citations per year

Countries citing papers authored by Nimi Marcel

Since Specialization
Citations

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

Fields of papers citing papers by Nimi Marcel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201059
2 202156
3 201252
4 200950
5 201647
6 201233
7 201723
8 202521
9 201618
10 201214
11 202112
12 202011
13 20089
14 20236
15 20125
16 20224

About Nimi Marcel

Nimi Marcel is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Epidemiology and Cell Biology, having authored 16 papers that have together received 420 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), Tuberculosis Research and Epidemiology (3 papers), RNA Research and Splicing (2 papers), Epigenetics and DNA Methylation (2 papers), FOXO transcription factor regulation (2 papers), RNA Interference and Gene Delivery (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Molecular Medicine (29 citations), Infectious Diseases (89 citations), Immunology (103 citations), Geriatrics and Gerontology (13 citations) and Epidemiology (94 citations). Nimi Marcel has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Apurva Sarin, Umender Sharma, G. V. Shivashankar, Stephen Μ. Hedrick, Lakshmi R. Perumalsamy, Meenakshi Balganesh, Sreevalli Sharma, Freddy Radtke, Sowmya Bharath and Venkita Subbulakshmi. Their work appears in journals such as Science Signaling, PLoS ONE, The Journal of Immunology, Nature Communications and Science Immunology.

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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