Anita P. Hoffer
- Reproductive Medicine top 1%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 5%
- Plant Science top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Don W. FawcettDavid W. HamiltonAgustı́n AokiBarry T. HintonJon GreenbergAshok AgarwalSeymour RosenJonathan P. Cohen
- Topics
- Research in Cotton Cultivation (11 papers)Sperm and Testicular Function (11 papers)Reproductive Biology and Fertility (5 papers)
- Cited by
- Reproductive MedicineHealth, Toxicology and MutagenesisPublic Health, Environmental and Occupational Health
- Journals
- Environmental Health PerspectivesCellular and Molecular Life SciencesBiology of Reproduction
- Partner nations
- United StatesGermanyIreland
In The Last Decade
Anita P. Hoffer
31 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Reproductive Medicine 597
- Molecular Biology 352
- Public Health, Environmental and Occupational Health 272
- Plant Science 252
- Endocrinology, Diabetes and Metabolism 140
Countries citing papers authored by Anita P. Hoffer
This map shows the geographic impact of Anita P. Hoffer'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 Anita P. Hoffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anita P. Hoffer more than expected).
Fields of papers citing papers by Anita P. Hoffer
This network shows the impact of papers produced by Anita P. Hoffer. 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 Anita P. Hoffer. The network helps show where Anita P. Hoffer may publish in the future.
Co-authorship network of co-authors of Anita P. Hoffer
This figure shows the co-authorship network connecting the top 25 collaborators of Anita P. Hoffer. A scholar is included among the top collaborators of Anita P. Hoffer 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 Anita P. Hoffer. Anita P. Hoffer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 39 | |
| 3 | 59 | |
| 4 | 17 | |
| 5 | 4 | |
| 6 | 19 | |
| 7 | 28 | |
| 8 | 1 | |
| 9 | 72 | |
| 10 | 15 | |
| 11 | 8 | |
| 12 | 44 | |
| 13 | 9 | |
| 14 | 118 | |
| 15 | 45 | |
| 16 | 49 | |
| 17 | 153 | |
| 18 | 40 | |
| 19 | 41 | |
| 20 | 27 |
About Anita P. Hoffer
Anita P. Hoffer is a scholar working on Reproductive Medicine, General Psychology and Neurology, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (11 papers), Sperm and Testicular Function (11 papers) and Reproductive Biology and Fertility (5 papers). The work is most often cited by research in Reproductive Medicine (597 citations), Health, Toxicology and Mutagenesis (136 citations) and Public Health, Environmental and Occupational Health (272 citations). Anita P. Hoffer has collaborated with scholars based in United States, Germany and Ireland. Frequent co-authors include Don W. Fawcett, David W. Hamilton, Agustı́n Aoki, Barry T. Hinton, Jon Greenberg, Ashok Agarwal, Seymour Rosen, Jonathan P. Cohen, Stephen A. Matlin and Robert C. Knapp. Their work appears in journals such as Environmental Health Perspectives, Cellular and Molecular Life Sciences and Biology of Reproduction.
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.