Juliet R.C. Pulliam

8.3k total citations · 4 hit papers
54 papers, 3.9k citations indexed

About

Juliet R.C. Pulliam is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Modeling and Simulation. According to data from OpenAlex, Juliet R.C. Pulliam has authored 54 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Infectious Diseases, 25 papers in Public Health, Environmental and Occupational Health and 20 papers in Modeling and Simulation. Recurrent topics in Juliet R.C. Pulliam's work include COVID-19 epidemiological studies (20 papers), Zoonotic diseases and public health (17 papers) and Viral Infections and Vectors (16 papers). Juliet R.C. Pulliam is often cited by papers focused on COVID-19 epidemiological studies (20 papers), Zoonotic diseases and public health (17 papers) and Viral Infections and Vectors (16 papers). Juliet R.C. Pulliam collaborates with scholars based in United States, South Africa and United Kingdom. Juliet R.C. Pulliam's co-authors include Andrew P. Dobson, Jonathan Dushoff, Andrew A. Cunningham, Kim M. Pepin, James O. Lloyd‐Smith, Peter Daszak, Harry Moultrie, Dylan B. George, David T. S. Hayman and Hume Field and has published in prestigious journals such as Science, New England Journal of Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Juliet R.C. Pulliam

52 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Social Organization and Parasite Risk in Mammals: Integrating Theory and Empirical Studies

2003 577 citations Andrew A. Cunningham, Andrew P. Dobson et al. profile →
Increased risk of SARS-CoV-2 reinfection associated with emergence of Omicron in South Africa

2022 576 citations Juliet R.C. Pulliam, Cari van Schalkwyk et al. profile →
A comparison of bats and rodents as reservoirs of zoonotic viruses: are bats special?

2013 493 citations Angela D. Luis, David T. S. Hayman et al. profile →
Epidemic Dynamics at the Human-Animal Interface

2009 471 citations James O. Lloyd‐Smith, Dylan B. George et al. profile →

Peers

Countries citing papers authored by Juliet R.C. Pulliam

Since Specialization

Citations

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

Fields of papers citing papers by Juliet R.C. Pulliam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juliet R.C. Pulliam. 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 Juliet R.C. Pulliam. The network helps show where Juliet R.C. Pulliam may publish in the future.

Co-authorship network of co-authors of Juliet R.C. Pulliam

This figure shows the co-authorship network connecting the top 25 collaborators of Juliet R.C. Pulliam. A scholar is included among the top collaborators of Juliet R.C. Pulliam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Juliet R.C. Pulliam. Juliet R.C. Pulliam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Detection of Real-Time Changes in Direction of COVID-19 Transmission Using National- and State-Level Epidemic Trends Based on R Estimates — United States Overall and New Mexico, April–October 2024	MMWR Morbidity and Mortality Weekly Report	Zachary Susswein, Sarah Connolly et al.	1
2	The National COVID-19 Epi Model (NCEM): Estimating cases, admissions and deaths for the first wave of COVID-19 in South Africa	SHILAP Revista de lepidopterología	Sheetal Silal, Juliet R.C. Pulliam et al.	5
3	Differential in-hospital mortality and intensive care treatment over time: Informing hospital pathways for modelling COVID-19 in South Africa	SHILAP Revista de lepidopterología	Lise Jamieson, Cari van Schalkwyk et al.	3
4	The role of modelling and analytics in South African COVID-19 planning and budgeting	SHILAP Revista de lepidopterología	Gesine Meyer‐Rath, Rachel Hounsell et al.	2
5	Human Exposure to Bats, Rodents and Monkeys in Bangladesh	EcoHealth	Stephen P. Luby, Kamal Hossain et al.	5
6	Modelling outbreak response impact in human vaccine-preventable diseases: A systematic review of differences in practices between collaboration types before COVID-19	Epidemics	James M. Azam, Juliet R.C. Pulliam et al.	3
7	Cost-effectiveness of Remdesivir and Dexamethasone for COVID-19 Treatment in South Africa	Open Forum Infectious Diseases	Youngji Jo, Lise Jamieson et al.	33
8	Strategic testing approaches for targeted disease monitoring can be used to inform pandemic decision-making	PLoS Biology	James D. Nichols, Tiffany L. Bogich et al.	11
9	Mind the gap: Patterns of red blood cell product usage in South Africa, 2014 - 2019	South African Medical Journal	Karin van den Berg, Ronél Swanevelder et al.	2
10	The Role of Remdesivir in South Africa: Preventing COVID-19 Deaths Through Increasing Intensive Care Unit Capacity	Clinical Infectious Diseases	Brooke E Nichols, Lise Jamieson et al.	12
11	Outbreak response intervention models of vaccine-preventable diseases in humans and foot-and-mouth disease in livestock: a protocol for a systematic review	BMJ Open	James M. Azam, Matthew J. Ferrari et al.	2
12	Dynamic and integrative approaches to understanding pathogen spillover	Philosophical Transactions of the Royal Society B Biological Sciences	Daniel J. Becker, Alex D. Washburne et al.	33
13	Resource-driven encounters among consumers and implications for the spread of infectious disease	Journal of The Royal Society Interface	Rebecca K. Borchering, Steven E. Bellan et al.	16
14	Sampling Design Influences the Observed Dominance of Culex tritaeniorhynchus: Considerations for Future Studies of Japanese Encephalitis Virus Transmission	PLoS neglected tropical diseases	Jennifer Lord, Hasan Mohammad Al‐Amin et al.	19
15	Statistical power and validity of Ebola vaccine trials in Sierra Leone: a simulation study of trial design and analysis	The Lancet Infectious Diseases	Steven E. Bellan, Juliet R.C. Pulliam et al.	46
16	Model‐guided fieldwork: practical guidelines for multidisciplinary research on wildlife ecological and epidemiological dynamics	Ecology Letters	Olivier Restif, David T. S. Hayman et al.	111
17	How to Make Epidemiological Training Infectious	PLoS Biology	Steven E. Bellan, Juliet R.C. Pulliam et al.	18
18	Identifying genetic markers of adaptation for surveillance of viral host jumps	Nature Reviews Microbiology	Kim M. Pepin, Sandra Lass et al.	113
19	The Emergence of Nipah Virus in Malaysia: The Role of Pteropus Bats as Hosts and Agricultural Expansion as a Key Factor for Zoonotic Spillover	International Journal of Infectious Diseases	Jonathan H. Epstein, Sohayati Abdul Rahman et al.	6
20	Viral Host Jumps: Moving toward a Predictive Framework	EcoHealth	Juliet R.C. Pulliam	38

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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