William Good
Impact in
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
-
- Thermodynamic properties of mixtures
Papers in
-
- Pregnancy and preeclampsia studies 14
- Physiology 18
- Erythrocyte Function and Pathophysiology 18
- Co-authors
- H. N. Macdonald (12 shared papers)Karl W. Hancock (11 shared papers)D.B. Ingham (3 shared papers)Joan Stone (5 shared papers)Huey-Wen Lin (2 shared papers)Felix Franks (1 shared paper)D.M. Jenkins (2 shared papers)Ayesha Akinkugbe (1 shared paper)
- Journals
- BJOG An International Journal of Obstetrics & Gynaecology (27 papers)Electrochimica Acta (7 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (5 papers)The Lancet (2 papers)Nature (2 papers)
- Partner nations
- United KingdomUnited StatesNigeria
In The Last Decade
William Good
67 papers receiving 521 citations
Peers
Comparison fields: 5 of 93
- Obstetrics and Gynecology 115
- Fluid Flow and Transfer Processes 68
- Biophysics 42
- Physiology 135
- Filtration and Separation 5
Countries citing papers authored by William Good
This map shows the geographic impact of William Good'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 William Good with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Good more than expected).
Fields of papers citing papers by William Good
This network shows the impact of papers produced by William Good. 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 William Good. The network helps show where William Good may publish in the future.
Co-authors
The 9 scholars most cited alongside William Good, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1967 | 54 | |
| 2 | 1964 | 26 | |
| 3 | 1969 | 26 | |
| 4 | 1981 | 25 | |
| 5 | 1960 | 23 | |
| 6 | 1975 | 22 | |
| 7 | 1965 | 19 | |
| 8 | 2023 | 18 | |
| 9 | 1973 | 17 | |
| 10 | 1971 | 16 | |
| 11 | 1967 | 15 | |
| 12 | 1975 | 15 | |
| 13 | 1966 | 13 | |
| 14 | 1973 | 13 | |
| 15 | 1966 | 12 | |
| 16 | 1970 | 12 | |
| 17 | 1971 | 12 | |
| 18 | 1968 | 11 | |
| 19 | 1971 | 11 | |
| 20 | 1972 | 11 |
About William Good
William Good is a scholar working on Obstetrics and Gynecology, Physiology, Fluid Flow and Transfer Processes, Reproductive Medicine and Immunology, having authored 68 papers that have together received 603 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (18 papers), Pregnancy and preeclampsia studies (14 papers), Thermodynamic properties of mixtures (9 papers), Reproductive System and Pregnancy (8 papers), Material Dynamics and Properties (5 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Reproductive Biology and Fertility (5 papers) and Ovarian function and disorders (5 papers). The work is most often cited by research in Obstetrics and Gynecology (115 citations), Fluid Flow and Transfer Processes (68 citations), Biophysics (42 citations), Physiology (135 citations) and Filtration and Separation (5 citations). William Good has collaborated with scholars based in United Kingdom, United States and Nigeria. Frequent co-authors include H. N. Macdonald, Karl W. Hancock, D.B. Ingham, Joan Stone, Huey-Wen Lin, Felix Franks, D.M. Jenkins, Ayesha Akinkugbe and Trevor R. Griffiths. Their work appears in journals such as BJOG An International Journal of Obstetrics & Gynaecology, Electrochimica Acta, Biochimica et Biophysica Acta (BBA) - Biomembranes, The Lancet and Nature.
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.