Chas DeBolt

20 papers receiving 461 citations

Peers

Chas DeBolt
Comparison fields: 5 of 58
  • Microbiology 281
  • Health 113
  • Epidemiology 378
  • Modeling and Simulation 32
  • Endocrinology 34
Replace Cynthia Kenyon with:
Cynthia Kenyon United States
Abdulbaset Salim United States
Heinz-J. Schmitt Germany
Rose‐Marie Carlsson Sweden
A Perrocheau France
William Meekison Canada
Shalini Desai Canada
Carl-Heinz Wirsing von König Germany
Juventila Liko United States
Julie Gabel United States
Chas DeBolt relative to Cynthia Kenyon United States Cynthia Kenyon's profile →
Citations per field
00.5×1.5×
Cynthia Kenyon · 1×
Citations per year

Countries citing papers authored by Chas DeBolt

Since Specialization
Citations

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

Fields of papers citing papers by Chas DeBolt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014148
2 201585
3 201452
4 201846
5 201627
6 201720
7 201916
8 201915
9
Measles imported by returning U.S. travelers aged 6-23 months, 2001-2011.
201113
10 202113
11 201710
12 20209
13
Measles outbreak associated with adopted children from China--Missouri, Minnesota, and Washington, July 2013.
20148
14 20166
15 20194
16 20193
17 20243
18 20192
19 20241
20 20201

About Chas DeBolt

Chas DeBolt is a scholar working on Endocrinology, Health, Microbiology, Modeling and Simulation and Infectious Diseases, having authored 21 papers that have together received 482 indexed citations. Recurring topics across this work include Virology and Viral Diseases (7 papers), Vaccine Coverage and Hesitancy (6 papers), Diphtheria, Corynebacterium, and Tetanus (4 papers), Bacterial Infections and Vaccines (4 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Zoonotic diseases and public health (2 papers), Veterinary medicine and infectious diseases (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Microbiology (281 citations), Health (113 citations), Epidemiology (378 citations), Modeling and Simulation (32 citations) and Endocrinology (34 citations). Chas DeBolt has collaborated with scholars based in United States, Cuba and Uganda. Frequent co-authors include Stacey W. Martin, Azadeh Tasslimi, Thomas A. Clark, Manisha Patel, Pamela K. Cassiday, Lucia C. Pawloski, M. Lucia Tondella, Margaret M. Williams, Xuan Qin and Anna M. Acosta. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, PEDIATRICS, Clinical Infectious Diseases, Journal of Public Health Management and Practice and JAMA Network Open.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026