Mark Dittmar

1.3k citations
20 papers · 686 · h-index 11

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral Infections and Vectors
  • Immunology top 10%
    • interferon and immune responses

Papers in

Mark Dittmar

18 papers receiving 679 citations

Peers

Mark Dittmar
Comparison fields: 5 of 81
  • Infectious Diseases 322
  • Immunology 237
  • Ophthalmology 41
  • Molecular Biology 257
  • Public Health, Environmental and Occupational Health 84
Replace Young‐Chan Kwon with:
Young‐Chan Kwon South Korea
Chonsaeng Kim South Korea
Sundy N.Y. Yang Australia
Maaran Michael Rajah France
Marco R. Straus United States
Anh Tran Canada
Adeline Danneels France
Yuanfei Zhu China
Mathieu Hubert France
Shen Wang China
Mark Dittmar relative to Young‐Chan Kwon South Korea Young‐Chan Kwon's profile →
Citations per field
00.5×1.5×2.4×
Young‐Chan Kwon · 1×
Citations per year

Countries citing papers authored by Mark Dittmar

Since Specialization
Citations

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

Fields of papers citing papers by Mark Dittmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2021157
2 2021150
3 202182
4 200766
5 201953
6 202048
7 200328
8 201923
9 202020
10 202117
11 202214
12 202010
13 20239
14 20233
15 20242
16 20242
17
Capsular Washing to Prevent Posterior Capsular Opacification in a Rabbit Model
20081
18
In vivo Protection of Photoreceptors from Light Damage in Rat by 17 ß-estradiol
20031
19 20260
20 20250

About Mark Dittmar

Mark Dittmar is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Molecular Biology, Immunology and Ophthalmology, having authored 20 papers that have together received 686 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (9 papers), Viral Infections and Vectors (9 papers), SARS-CoV-2 and COVID-19 Research (5 papers), interferon and immune responses (4 papers), Viral Infections and Outbreaks Research (3 papers), PARP inhibition in cancer therapy (2 papers), Retinal Development and Disorders (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Infectious Diseases (322 citations), Immunology (237 citations), Ophthalmology (41 citations), Molecular Biology (257 citations) and Public Health, Environmental and Occupational Health (84 citations). Mark Dittmar has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Sara Cherry, Holly Ramage, Minghua Li, Kellie A. Jurado, D. Schultz, Jae Seung Lee, Robert E. Anderson, Kanupriya Whig, Elisha Segrist and Kristen W. Lynch. Their work appears in journals such as Cell Reports, Investigative Ophthalmology & Visual Science, mBio, PLoS Pathogens 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.

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