James Schmeits
- Pathology and Forensic Medicine top 2%
- Molecular Biology
- Oncology top 10%
- Cancer Research top 10%
- Genetics
- Co-authors
- Richard D. KolodnerSiobhan WahlbergSapna SyngalMichael KaneKazuhiko KawasakiFrederick P. LiJudy E. GarberJessica Tytell
- Topics
- Genetic factors in colorectal cancer (4 papers)Colorectal Cancer Treatments and Studies (3 papers)Colorectal Cancer Screening and Detection (3 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
James Schmeits
10 papers receiving 859 citations
Peers
Comparison fields: 5 of 69
- Pathology and Forensic Medicine 512
- Molecular Biology 424
- Oncology 352
- Cancer Research 254
- Genetics 101
Countries citing papers authored by James Schmeits
This map shows the geographic impact of James Schmeits'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 James Schmeits with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Schmeits more than expected).
Fields of papers citing papers by James Schmeits
This network shows the impact of papers produced by James Schmeits. 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 James Schmeits. The network helps show where James Schmeits may publish in the future.
Co-authorship network of co-authors of James Schmeits
This figure shows the co-authorship network connecting the top 25 collaborators of James Schmeits. A scholar is included among the top collaborators of James Schmeits 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 James Schmeits. James Schmeits is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Evaluation of microsatellite instability and immunohistochemistry for the prediction of germ-line MSH2 and MLH1 mutations in hereditary nonpolyposis colon cancer families. | 155 |
| 2 | 2 | |
| 3 | 84 | |
| 4 | Mononucleotide microsatellite instability and germline MSH6 mutation analysis in early onset colorectal cancer. | 75 |
| 5 | Germ-line msh6 mutations in colorectal cancer families. | 266 |
| 6 | 1 | |
| 7 | 149 | |
| 8 | 80 | |
| 9 | 21 | |
| 10 | 42 |
About James Schmeits
James Schmeits is a scholar working on Pathology and Forensic Medicine, Biophysics and Electrochemistry, having authored 10 papers that have together received 875 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Colorectal Cancer Screening and Detection (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (512 citations), Cancer Research (254 citations) and Oncology (352 citations). James Schmeits has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Richard D. Kolodner, Siobhan Wahlberg, Sapna Syngal, Michael Kane, Kazuhiko Kawasaki, Frederick P. Li, Judy E. Garber, Jessica Tytell, Edward Fox and Hoda Anton‐Culver. Their work appears in journals such as Molecular Cell, Biochemistry and PLANT PHYSIOLOGY.
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.