J. Williams
- Hematology top 5%
- Molecular Biology
- Genetics top 10%
- Oncology
- Immunology
- Co-authors
- Michael W. LongLM SouzaT J MacVittieML PatchenKenneth G. MannEdward V. ProchownikCheryl L. PetersN S Datta
- Topics
- Platelet Disorders and Treatments (4 papers)Blood properties and coagulation (3 papers)Cancer-related Molecular Pathways (3 papers)
- Partner nations
- United StatesMaldivesAustralia
In The Last Decade
J. Williams
18 papers receiving 779 citations
Peers
Comparison fields: 5 of 115
- Hematology 326
- Molecular Biology 194
- Genetics 149
- Oncology 118
- Immunology 108
Countries citing papers authored by J. Williams
This map shows the geographic impact of J. Williams'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 J. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Williams more than expected).
Fields of papers citing papers by J. Williams
This network shows the impact of papers produced by J. Williams. 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 J. Williams. The network helps show where J. Williams may publish in the future.
Co-authorship network of co-authors of J. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of J. Williams. A scholar is included among the top collaborators of J. Williams 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 J. Williams. J. Williams 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 | 20 | |
| 3 | 2 | |
| 4 | Cross talk between the inflammation and coagulation systems. | 1 |
| 5 | Project OOMPH-Organics over the ocean modifying particles in both hemispheres | 1 |
| 6 | 34 | |
| 7 | 14 | |
| 8 | Malignancy: an evolving definition of a cancer cell. | 4 |
| 9 | Enderby Island cattle : what breed are they derived from? | 3 |
| 10 | 4 | |
| 11 | 77 | |
| 12 | Differential modulation of G1-S-phase cyclin-dependent kinase 2/cyclin complexes occurs during the acquisition of a polyploid DNA content. | 21 |
| 13 | 85 | |
| 14 | EVALUATION OF MICROSATELLITE MARKERS FOR PARENTAGE VERIFICATION | 2 |
| 15 | 115 | |
| 16 | 166 | |
| 17 | 99 | |
| 18 | 149 | |
| 19 | 31 |
About J. Williams
J. Williams is a scholar working on Hematology, Immunology and Allergy and Oncology, having authored 19 papers that have together received 828 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (4 papers), Blood properties and coagulation (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Hematology (326 citations), Genetics (149 citations) and Psychiatry and Mental health (88 citations). J. Williams has collaborated with scholars based in United States, Maldives and Australia. Frequent co-authors include Michael W. Long, LM Souza, T J MacVittie, ML Patchen, Kenneth G. Mann, Edward V. Prochownik, Cheryl L. Peters, N S Datta, Nabanita S. Datta and Maja O’Connor. Their work appears in journals such as Journal of Clinical Investigation, Blood and Limnology and Oceanography.
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.