H. Navabi

2.0k citations
18 papers · 1.7k · h-index 12

Impact in

    • MicroRNA in disease regulation
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction

Papers in

    • Immunotherapy and Immune Responses 8
    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2
    • Extracellular vesicles in disease 3
    • Molecular Biology Techniques and Applications 2

H. Navabi

18 papers receiving 1.6k citations

Peers

H. Navabi
Comparison fields: 5 of 97
  • Cancer Research 386
  • Immunology 511
  • Molecular Biology 1.1k
  • Oncology 263
  • Immunology and Allergy 57
Replace Curtis Ruegg with:
Curtis Ruegg United States
Kenneth LeClair United States
Jeff D. Colbert United States
Timo Burster Germany
Catherina H. Bird Australia
Katherine McKinnon United States
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Andrew C. Nelson United States
Helen C. O’Neill Australia
H. Navabi relative to Curtis Ruegg United States Curtis Ruegg's profile →
Citations per field
00.5×1.5×
Curtis Ruegg · 1×
Citations per year

Countries citing papers authored by H. Navabi

Since Specialization
Citations

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

Fields of papers citing papers by H. Navabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2001466
2 2005344
3 1994151
4 2009114
5 2008106
6 200595
7 200193
8 199680
9 200274
10 199749
11 199835
12 199717
13 19979
14 20019
15 19924
16 20013
17
SV40 DNA sequences in mesotheliomas.
19983
18 19982

About H. Navabi

H. Navabi is a scholar working on Immunology, Molecular Biology, Epidemiology, Oncology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), Hepatitis B Virus Studies (3 papers), Trace Elements in Health (3 papers), Extracellular vesicles in disease (3 papers), Cervical Cancer and HPV Research (3 papers), Molecular Biology Techniques and Applications (2 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Cancer Research (386 citations), Immunology (511 citations), Molecular Biology (1.1k citations), Oncology (263 citations) and Immunology and Allergy (57 citations). H. Navabi has collaborated with scholars based in United Kingdom, Germany and France. Frequent co-authors include Bharat Jasani, Aled Clayton, Malcolm D. Mason, Malcolm Adams, Zsuzsanna Tabi, John Morgan, Jan A. Hobot, Jacquelyn Court, Kurt Werner Schmid and Chris Pepper. Their work appears in journals such as The Journal of Pathology, Vaccine, Advances in experimental medicine and biology, Journal of Immunological Methods and Blood Cells Molecules and Diseases.

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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