Di Fang
- Public Health, Environmental and Occupational Health top 2%
- General Health Professions top 2%
- Gender Studies top 1%
- Economics and Econometrics top 10%
- Sociology and Political Science top 10%
- Co-authors
- Rodolfo M. NaygaMichael R. ThomsenRoger E. MeyerKaren KestenGeraldine D. BednashKristen HuffWei YangHoward B. Dickler
- Topics
- Nursing education and management (8 papers)Food Security and Health in Diverse Populations (7 papers)Diversity and Career in Medicine (7 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Di Fang
59 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Public Health, Environmental and Occupational Health 632
- General Health Professions 472
- Gender Studies 383
- Economics and Econometrics 143
- Sociology and Political Science 139
Countries citing papers authored by Di Fang
This map shows the geographic impact of Di Fang'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 Di Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Fang more than expected).
Fields of papers citing papers by Di Fang
This network shows the impact of papers produced by Di Fang. 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 Di Fang. The network helps show where Di Fang may publish in the future.
Co-authorship network of co-authors of Di Fang
This figure shows the co-authorship network connecting the top 25 collaborators of Di Fang. A scholar is included among the top collaborators of Di Fang 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 Di Fang. Di Fang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 0 | |
| 13 | 18 | |
| 14 | 60 | |
| 15 | Identifying Arkansas Food Desert Blocks Suitable for a Peer-to-Peer Modeled Food Redistribution Program | 1 |
| 16 | 38 | |
| 17 | Research on application effect in breeding of molecular marker in sheep BMPR-IB gene. | 1 |
| 18 | 80 | |
| 19 | 20 | |
| 20 | 73 |
About Di Fang
Di Fang is a scholar working on Research and Theory, Issues, ethics and legal aspects and Gender Studies, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nursing education and management (8 papers), Food Security and Health in Diverse Populations (7 papers) and Diversity and Career in Medicine (7 papers). The work is most often cited by research in Research and Theory (110 citations), Gender Studies (383 citations) and Issues, ethics and legal aspects (31 citations). Di Fang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Rodolfo M. Nayga, Michael R. Thomsen, Roger E. Meyer, Karen Kesten, Geraldine D. Bednash, Kristen Huff, Wei Yang, Howard B. Dickler, David Korn and Elizabeth Johnson. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and PLoS ONE.
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.