Verna Welch

2.3k citations
66 papers · 1.7k indexed · 1 hit paper · h-index 19

Impact in

Papers in

Verna Welch

59 papers receiving 1.6k citations

Hit Papers

Methodologies for Improving Response Rates in Surveys of Physicians 2007 · 564 citations
5642007202620132019100200300400500

Peers

Verna Welch
Comparison fields: 5 of 151
  • Health 163
  • Infectious Diseases 307
  • General Health Professions 415
  • Critical Care and Intensive Care Medicine 62
  • Epidemiology 373
Replace Lawrence C. Kleinman with:
Lawrence C. Kleinman United States
Cristian Tebé Spain
Joëlle Y. Friedman United States
Stephen R. Benoit United States
Katherine A. Auger United States
Dulce Aparecida Barbosa Brazil
Kelly Richardson United States
Brandon Zagorski Canada
Kevin Lu United States
Graeme Maguire Australia
Verna Welch relative to Lawrence C. Kleinman United States Lawrence C. Kleinman's profile →
Citations per field
00.5×2.9×
Lawrence C. Kleinman · 1×
Citations per year

Countries citing papers authored by Verna Welch

Since Specialization
Citations

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

Fields of papers citing papers by Verna Welch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20249
3 202412
4 202432
5 202349
6 202361
7 20233
8 20234
9 20212
10 20202
11 201917
12 201512
13 201139
14 201045
15 201071
16
Evaluating “Not in Mama's Kitchen” Second-Hand Smoke Campaign in Georgia
20081
17 200643
18 200210
19 200229
20 199616

About Verna Welch

Verna Welch is a scholar working on Infectious Diseases, Health, Hematology, Critical Care and Intensive Care Medicine and Public Health, Environmental and Occupational Health, having authored 66 papers that have together received 1.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (15 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Acute Myeloid Leukemia Research (10 papers), Acute Lymphoblastic Leukemia research (10 papers), Vaccine Coverage and Hesitancy (9 papers), Respiratory viral infections research (8 papers), Neutropenia and Cancer Infections (7 papers) and Nosocomial Infections in ICU (4 papers). The work is most often cited by research in Health (163 citations), Infectious Diseases (307 citations), General Health Professions (415 citations), Critical Care and Intensive Care Medicine (62 citations) and Epidemiology (373 citations). Verna Welch has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jonathan B. VanGeest, Timothy P. Johnson, Kimbal D. Ford, Charles H. Jones, Julio A. Ramírez, Paula Peyrani, Daniel H. Kett, Ernesto G. Scerpella, Marcus Zervos and Gerardo Heiss. Their work appears in journals such as Blood, Advances in Therapy, npj Vaccines, Journal of Clinical Oncology and Vaccines.

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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