Michael Merva
Impact in
- Virology top 5%
- HIV Research and Treatment
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in ⓘ
- Immunology 10
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Immune responses and vaccinations 1
- Immunodeficiency and Autoimmune Disorders 1
- Virology 8
- HIV Research and Treatment 8
- Co-authors
- William V. Williams (9 shared papers)Kenneth E. Ugen (8 shared papers)Kesen Dang (6 shared papers)Jean Boyer (8 shared papers)D B Weiner (3 shared papers)Leslie R. Coney (5 shared papers)Lori Gilbert (4 shared papers)David B. Weiner (7 shared papers)
- Journals
- Vaccine (3 papers)DNA and Cell Biology (2 papers)Human Gene Therapy (1 paper)Annals of the New York Academy of Sciences (1 paper)Virology (1 paper)
- Partner nations
- United States
In The Last Decade
Michael Merva
10 papers receiving 450 citations
Peers
Comparison fields: 5 of 37
- Virology 181
- Immunology 305
- Infectious Diseases 100
- Epidemiology 136
- Microbiology 22
Countries citing papers authored by Michael Merva
This map shows the geographic impact of Michael Merva'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 Michael Merva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Merva more than expected).
Fields of papers citing papers by Michael Merva
This network shows the impact of papers produced by Michael Merva. 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 Michael Merva. The network helps show where Michael Merva may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Merva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 137 | |
| 2 | 1995 | 91 | |
| 3 | 1997 | 63 | |
| 4 | 1994 | 50 | |
| 5 | DNA inoculation induces protective in vivo immune responses against cellular challenge with HIV-1 antigen-expressing cells. | 1994 | 42 |
| 6 | 1995 | 41 | |
| 7 | 1997 | 20 | |
| 8 | 1995 | 15 | |
| 9 | 1993 | 9 | |
| 10 | Induction of a TH1 type cellular immune response to the human immunodeficiency type 1 virus by in vivo DNA inoculation. | 1998 | 5 |
About Michael Merva
Michael Merva is a scholar working on Immunology, Virology, Molecular Biology, Microbiology and Infectious Diseases, having authored 10 papers that have together received 473 indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Antimicrobial Peptides and Activities (1 paper), Immune responses and vaccinations (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Virology (181 citations), Immunology (305 citations), Infectious Diseases (100 citations), Epidemiology (136 citations) and Microbiology (22 citations). Michael Merva has collaborated with scholars based in United States. Frequent co-authors include William V. Williams, Kenneth E. Ugen, Kesen Dang, Jean Boyer, D B Weiner, Leslie R. Coney, Lori Gilbert, David B. Weiner, Vasantha Srikantan and Richard A. Carrano. Their work appears in journals such as Vaccine, DNA and Cell Biology, Human Gene Therapy, Annals of the New York Academy of Sciences and Virology.
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.