P. Mshar

23 papers receiving 1.3k citations

Peers

P. Mshar
Comparison fields: 5 of 101
  • Endocrinology 297
  • Biotechnology 424
  • Parasitology 318
  • Infectious Diseases 775
  • Food Science 485
Replace Bernard China with:
Bernard China Belgium
Doreene R. Hyatt United States
Ken J. Forbes United Kingdom
Johanna Takkinen Sweden
D.R.A. Wareing United Kingdom
Jim McLauchlin United Kingdom
Motoo Matsuda Japan
Márcio Garcia Ribeiro Brazil
Teresa Y. Morishita United States
Carol A. Genese United States
P. Mshar relative to Bernard China Belgium Bernard China's profile →
Citations per field
00.5×1.5×1.8×
Bernard China · 1×
Citations per year

Countries citing papers authored by P. Mshar

Since Specialization
Citations

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

Fields of papers citing papers by P. Mshar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999277
2 2004247
3 1998179
4 2005151
5 199391
6 200057
7 200453
8 201049
9 200243
10 199739
11 199638
12 200833
13
Epidemiological and clinical features of 1,149 persons with Lyme disease identified by laboratory-based surveillance in Connecticut.
198922
14
What do physicians know about cryptosporidiosis? A survey of Connecticut physicians.
199721
15 199619
16 200517
17 200515
18
The epidemiology of Lyme disease in Connecticut.
198915
19 200913
20 200112

About P. Mshar

P. Mshar is a scholar working on Infectious Diseases, Endocrinology, Food Science, Biotechnology and Parasitology, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (7 papers), Salmonella and Campylobacter epidemiology (6 papers), Escherichia coli research studies (6 papers), Listeria monocytogenes in Food Safety (5 papers), Food Safety and Hygiene (4 papers), Vector-borne infectious diseases (3 papers), Viral Infections and Vectors (3 papers) and Data-Driven Disease Surveillance (3 papers). The work is most often cited by research in Endocrinology (297 citations), Biotechnology (424 citations), Parasitology (318 citations), Infectious Diseases (775 citations) and Food Science (485 citations). P. Mshar has collaborated with scholars based in United States and Uganda. Frequent co-authors include James L. Hadler, Matthew Cartter, Louis A. Magnarelli, Kirby C. Stafford, Laurence Slutsker, Elizabeth D. Hilborn, Roger Mshar, Elizabeth Begier, M. Kathleen Glynn and Jeffrey A. Farrar. Their work appears in journals such as Epidemiology and Infection, Clinical Infectious Diseases, The Journal of Infectious Diseases, Journal of Clinical Microbiology and Emerging infectious diseases.

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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