James Schmeits

1.1k total citations
10 papers, 875 citations indexed

About

James Schmeits is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, James Schmeits has authored 10 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in James Schmeits's work include Genetic factors in colorectal cancer (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Colorectal Cancer Screening and Detection (3 papers). James Schmeits is often cited by papers focused on Genetic factors in colorectal cancer (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Colorectal Cancer Screening and Detection (3 papers). James Schmeits collaborates with scholars based in United States, Spain and United Kingdom. James Schmeits's 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 and has published in prestigious journals such as Molecular Cell, Biochemistry and PLANT PHYSIOLOGY.

In The Last Decade

James Schmeits

10 papers receiving 859 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James Schmeits United States 8 512 424 352 254 101 10 875
Yusuke Nakamura Japan 9 249 0.5× 742 1.8× 569 1.6× 250 1.0× 83 0.8× 9 1.1k
Yoshiki Takei Japan 5 36 0.1× 698 1.6× 468 1.3× 199 0.8× 43 0.4× 9 907
R. D. Patel India 10 184 0.4× 222 0.5× 269 0.8× 104 0.4× 10 0.1× 33 611
J. Sträub Germany 8 329 0.6× 470 1.1× 375 1.1× 179 0.7× 87 0.9× 21 864
Gisela Claassen United States 13 77 0.2× 720 1.7× 350 1.0× 98 0.4× 56 0.6× 14 1.0k
Lucia Nobili Italy 15 124 0.2× 385 0.9× 120 0.3× 136 0.5× 19 0.2× 24 597
Y. Yan United States 12 55 0.1× 415 1.0× 267 0.8× 82 0.3× 46 0.5× 24 718
Anil Ganesh United Kingdom 17 402 0.8× 910 2.1× 363 1.0× 490 1.9× 115 1.1× 20 1.2k
Deepika Sharma Das United States 14 22 0.0× 617 1.5× 283 0.8× 64 0.3× 60 0.6× 33 821
Azat Garipov United States 6 168 0.3× 679 1.6× 182 0.5× 204 0.8× 42 0.4× 6 837

Countries citing papers authored by James Schmeits

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

10 of 10 papers shown
1.
Wahlberg, Siobhan, James Schmeits, George Thomas, et al.. (2002). Evaluation of microsatellite instability and immunohistochemistry for the prediction of germ-line MSH2 and MLH1 mutations in hereditary nonpolyposis colon cancer families.. PubMed. 62(12). 3485–92. 155 indexed citations
2.
Zhu, Tong, Hur‐Song Chang, James Schmeits, et al.. (2001). Gene Expression Microarrays: Improvements and Applications towards Agricultural Gene Discovery. JALA Journal of the Association for Laboratory Automation. 6(6). 95–98. 2 indexed citations
3.
Datta, Abhijit, James Schmeits, Neelam S. Amin, et al.. (2000). Checkpoint-Dependent Activation of Mutagenic Repair in Saccharomyces cerevisiae pol3-01 Mutants. Molecular Cell. 6(3). 593–603. 84 indexed citations
4.
Verma, Manjusha, Michael Kane, Cecilia Brassett, et al.. (1999). Mononucleotide microsatellite instability and germline MSH6 mutation analysis in early onset colorectal cancer.. PubMed Central. 36(9). 678–82. 75 indexed citations
5.
Kolodner, Richard D., Jessica Tytell, James Schmeits, et al.. (1999). Germ-line msh6 mutations in colorectal cancer families.. PubMed. 59(20). 5068–74. 266 indexed citations
6.
Verma, Manjusha, Michael Kane, Cecilia Brassett, et al.. (1999). Mononucleotide microsatellite instability and germlineMSH6 mutation analysis in early onset colorectal cancer. Journal of Medical Genetics. 36(9). 678–682. 1 indexed citations
7.
Kawasaki, Kazuhiko, Satoshi Minoshima, Kazunori Shibuya, et al.. (1997). One-megabase sequence analysis of the human immunoglobulin lambda gene locus.. Genome Research. 7(3). 250–261. 149 indexed citations
8.
9.
10.
Helm, Kenneth W., James Schmeits, & Elizabeth Vierling. (1995). An Endomembrane-Localized Small Heat-Shock Protein from Arabidopsis thaliana. PLANT PHYSIOLOGY. 107(1). 287–288. 42 indexed citations

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.

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