Dan C. Maneval

18 papers receiving 333 citations

Peers

Dan C. Maneval
Comparison fields: 5 of 40
  • Genetics 181
  • Ophthalmology 42
  • Immunology 53
  • Oncology 40
  • Rehabilitation 8
Replace Jimyung Seo with:
Jimyung Seo South Korea
Thomas G. Storch United States
Wenn H. Sun United States
J M Martin Spain
Elyssa Ott United States
Michelle L. Elvington United States
Sigrun R. Hofmann Germany
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Citations per year

Countries citing papers authored by Dan C. Maneval

Since Specialization
Citations

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

Fields of papers citing papers by Dan C. Maneval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan C. Maneval. 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 Dan C. Maneval. The network helps show where Dan C. Maneval may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201549
2 200145
3
Recombinant adenovirus-mediated gene transfer to genitourinary epithelium in vitro and in vivo.
199543
4 200141
5 200335
6 200434
7 200133
8
A recombinant adenoviral vector expressing full-length human retinoblastoma susceptibility gene inhibits human tumor cell growth.
199820
9
Inhibition of tumor cell proliferation in vitro and in vivo by exogenous p110RB, the retinoblastoma tumor suppressor protein.
199515
10 200515
11 200614
12
Recombinant human retinoblastoma protein inhibits cancer cell growth.
199510
13 20059
14 20017
15 20077
16 20036
17
Comparison of New Zealand White versus Dutch Belted Rabbits as a Model for Glaucoma Surgery
20022
18 20041
19 20041

About Dan C. Maneval

Dan C. Maneval is a scholar working on Genetics, Rehabilitation, Dermatology, Ophthalmology and Oncology, having authored 19 papers that have together received 387 indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), Glaucoma and retinal disorders (3 papers), Wound Healing and Treatments (3 papers), Dermatologic Treatments and Research (3 papers), Cancer-related Molecular Pathways (2 papers), Proteoglycans and glycosaminoglycans research (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Biosimilars and Bioanalytical Methods (1 paper). The work is most often cited by research in Genetics (181 citations), Ophthalmology (42 citations), Immunology (53 citations), Oncology (40 citations) and Rehabilitation (8 citations). Dan C. Maneval has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Shu Fen Wen, Todd Machemer, Drake LaFace, Barry J. Sugarman, G. William Demers, Gustavo Cabrera, Curiel Dt, Cynthia Sale Bass, Ada Elgavish and Van Tsai. Their work appears in journals such as Cancer Gene Therapy, Wound Repair and Regeneration, Gene Therapy, Molecular Therapy and Investigative Ophthalmology & Visual Science.

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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