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.
Infectious disease and economics: The case for considering multi-sectoral impacts
2019197 citationsKristine M. Smith, Catherine Machalaba et al.One Healthprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Richard Seifman
Since
Specialization
Citations
This map shows the geographic impact of Richard Seifman'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 Richard Seifman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Seifman more than expected).
This network shows the impact of papers produced by Richard Seifman. 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 Richard Seifman. The network helps show where Richard Seifman may publish in the future.
Co-authorship network of co-authors of Richard Seifman
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Seifman.
A scholar is included among the top collaborators of Richard Seifman 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 Richard Seifman. Richard Seifman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Laaser, Ulrich & Richard Seifman. (2023). Oneness in One Health. South Eastern European Journal of Public Health. 1–6.1 indexed citations
Smith, Kristine M., Catherine Machalaba, Richard Seifman, Yasha Feferholtz, & William B. Karesh. (2019). Infectious disease and economics: The case for considering multi-sectoral impacts. One Health. 7. 100080–100080.197 indexed citations breakdown →
7.
Berthe, Franck, et al.. (2018). One health : operational framework for strengthening human, animal, and environmental public health systems at their interface. 1–152.31 indexed citations
Ninan, Elizabeth, et al.. (2009). Community initiatives and HIV/AIDS.. 295–319.1 indexed citations
13.
Lule, Elizabeth, et al.. (2009). HIV epidemiology: recent trends and lessons.. 9–28.1 indexed citations
14.
Haacker, Markus, et al.. (2009). Impact of and response to HIV/AIDS: public policy challenges.. 197–225.
15.
Feeley, Frank G., et al.. (2009). The private sector and HIV/AIDS in Africa: recent developments and implications for policy.. 267–293.2 indexed citations
16.
Bollinger, Lori, et al.. (2009). The potential impact of HIV/AIDS interventions on the HIV/AIDS epidemic in Africa: a simulation exercise for the World Bank.. 429–449.4 indexed citations
17.
Lule, Elizabeth, et al.. (2009). Gender and HIV/AIDS.. 227–266.2 indexed citations
18.
Lule, Elizabeth, et al.. (2009). Fiscal space and the sustainability of HIV/AIDS programs in sub-Saharan Africa.. 123–158.1 indexed citations
19.
Shekar, Meera & Richard Seifman. (2007). HIV/AIDS, nutrition and food security : what we can do - a synthesis of international guidance. 1–83.10 indexed citations
20.
Seifman, Richard, et al.. (2003). Operational guidelines for supporting early child development (ECD) in multi-sectoral HIV/AIDS programs in Africa.2 indexed citations
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.