Archana Monie

2.0k citations
45 papers · 1.6k indexed · h-index 25
  • Immunology top 2%
    • Immunotherapy and Immune Responses 28
    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 4
    • Cervical Cancer and HPV Research 17
    • Hepatitis B Virus Studies 13
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers 6
    • RNA Interference and Gene Delivery 7
    • Virus-based gene therapy research 4

Archana Monie

45 papers receiving 1.6k citations

Peers

Archana Monie
Comparison fields: 5 of 87
  • Immunology 1.0k
  • Epidemiology 701
  • Microbiology 116
  • Oncology 352
  • Biotechnology 79
Replace Balasubramanyam Karanam with:
Balasubramanyam Karanam United States
Laurie Love-Homan United States
Susan J. F. van den Eeden Netherlands
Enrique Boccardo Brazil
Fernando Esquivel‐Guadarrama Mexico
Toshiko Yamamoto Japan
Patrick H.C. van Berkel Netherlands
Gertrude Case Buehring United States
Gerald L. Bartlett United States
Tony Navas United States
Archana Monie relative to Balasubramanyam Karanam United States Balasubramanyam Karanam's profile →
Citations per field
00.5×1.5×2.0×
Balasubramanyam Karanam · 1×
Citations per year

Countries citing papers authored by Archana Monie

Since Specialization
Citations

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

Fields of papers citing papers by Archana Monie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 201125
3 201021
4 201022
5 201036
6 201047
7 20106
8 200916
9 200932
10 20098
11 200831
12 200827
13 20089
14 200851
15 200823
16 200850
17 200829
18 200856
19 200773
20 200750

About Archana Monie

Archana Monie is a scholar working on Immunology, Epidemiology and Microbiology, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (28 papers), Cervical Cancer and HPV Research (17 papers), Hepatitis B Virus Studies (13 papers), Immune Cell Function and Interaction (9 papers), RNA Interference and Gene Delivery (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Virus-based gene therapy research (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Immunology (1.0k citations), Epidemiology (701 citations) and Microbiology (116 citations). Archana Monie has collaborated with scholars based in United States, Taiwan and South Korea. Frequent co-authors include Chien‐Fu Hung, T.‐C. Wu, T-C Wu, Chi-Mu Chuang, Annie A. Wu, Barbara Ma, Ronald D. Alvarez, Xiaowu Pang, Richard B.S. Roden and Ya-Chea Tsai.

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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