David Tacha
Impact in
- Nephrology top 5%
- Parathyroid Disorders and Treatments
- Oncology top 10%
- Cancer Diagnosis and Treatment
- Pancreatic and Hepatic Oncology Research
Papers in
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- Molecular Biology Techniques and Applications 6
- Renal and related cancers 3
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- Metastasis and carcinoma case studies 6
- Renal cell carcinoma treatment 2
- Co-authors
- Liang Cheng (4 shared papers)Ding Zhou (3 shared papers)Ryan Bremer (11 shared papers)Thomas Haas (7 shared papers)Taiying Chen (1 shared paper)Geoffrey L. Greene (1 shared paper)Robert Brenner (1 shared paper)Maryanne C. McClellan (1 shared paper)
- Journals
- Archives of Pathology & Laboratory Medicine (9 papers)Applied immunohistochemistry & molecular morphology (7 papers)Cancer Research (2 papers)Human Pathology (2 papers)Endocrinology (1 paper)
- Partner nations
- United StatesSpainItaly
In The Last Decade
David Tacha
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Nephrology 82
- Oncology 304
- Pulmonary and Respiratory Medicine 331
- Reproductive Medicine 71
- Cancer Research 84
Countries citing papers authored by David Tacha
This map shows the geographic impact of David Tacha'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 David Tacha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Tacha more than expected).
Fields of papers citing papers by David Tacha
This network shows the impact of papers produced by David Tacha. 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 David Tacha. The network helps show where David Tacha may publish in the future.
Co-authors
The 25 scholars most cited alongside David Tacha, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 172 | |
| 2 | 1984 | 121 | |
| 3 | 2013 | 113 | |
| 4 | 2008 | 83 | |
| 5 | 2012 | 64 | |
| 6 | 1994 | 55 | |
| 7 | 2013 | 48 | |
| 8 | 2012 | 40 | |
| 9 | 2014 | 38 | |
| 10 | 2015 | 37 | |
| 11 | 2014 | 35 | |
| 12 | 2011 | 35 | |
| 13 | 2016 | 33 | |
| 14 | 2012 | 33 | |
| 15 | 2014 | 29 | |
| 16 | 1992 | 29 | |
| 17 | 2004 | 28 | |
| 18 | 2015 | 23 | |
| 19 | 2015 | 19 | |
| 20 | 2013 | 17 |
About David Tacha
David Tacha is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Genetics, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Urinary and Genital Oncology Studies (7 papers), Molecular Biology Techniques and Applications (6 papers), Bladder and Urothelial Cancer Treatments (6 papers), Metastasis and carcinoma case studies (6 papers), Renal and related cancers (3 papers), Folate and B Vitamins Research (2 papers), Renal cell carcinoma treatment (2 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Nephrology (82 citations), Oncology (304 citations), Pulmonary and Respiratory Medicine (331 citations), Reproductive Medicine (71 citations) and Cancer Research (84 citations). David Tacha has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Liang Cheng, Ding Zhou, Ryan Bremer, Thomas Haas, Taiying Chen, Geoffrey L. Greene, Robert Brenner, Maryanne C. McClellan, Neal B. West and LuAnn McKinney. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Applied immunohistochemistry & molecular morphology, Cancer Research, Human Pathology and Endocrinology.
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.