David S. Klimstra
Impact in
- Oncology top 0.01%
- Pancreatic and Hepatic Oncology Research
- Lung Cancer Research Studies
- Cancer Research top 0.1%
- Cancer Genomics and Diagnostics
Papers in
- Co-authors
- Murray F. Brennan (63 shared papers)Laura H. Tang (73 shared papers)Kevin C. Conlon (21 shared papers)Volkan N. Adsay (54 shared papers)Ralph H. Hruban (44 shared papers)Jinru Shia (88 shared papers)William R. Jarnagin (59 shared papers)Yuman Fong (50 shared papers)
- Journals
- The American Journal of Surgical Pathology (87 papers)Modern Pathology (39 papers)Annals of Surgery (28 papers)Annals of Surgical Oncology (24 papers)Human Pathology (17 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
David S. Klimstra
522 papers receiving 65.6k citations
David S. Klimstra's Hit Papers
Peers
Comparison fields: 5 of 184
- Oncology 37.2k
- Cancer Research 8.2k
- Epidemiology 17.0k
- Surgery 18.4k
- Neurology 5.8k
Countries citing papers authored by David S. Klimstra
This map shows the geographic impact of David S. Klimstra'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 S. Klimstra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Klimstra more than expected).
Fields of papers citing papers by David S. Klimstra
This network shows the impact of papers produced by David S. Klimstra. 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 S. Klimstra. The network helps show where David S. Klimstra may publish in the future.
Co-authors
The 25 scholars most cited alongside David S. Klimstra, 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 531 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The 2019 WHO classification of tumours of the digestive system Hit paper breakdown → | 2019 | 2786 |
| 2 | Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients Hit paper breakdown → | 2017 | 2650 |
| 3 | Clinical-grade computational pathology using weakly supervised deep learning on whole slide images Hit paper breakdown → | 2019 | 1854 |
| 4 | Organoid Models of Human and Mouse Ductal Pancreatic Cancer Hit paper breakdown → | 2014 | 1753 |
| 5 | Integrated Genomic Characterization of Pancreatic Ductal Adenocarcinoma Hit paper breakdown → | 2017 | 1559 |
| 6 | DAXX / ATRX , MEN1 , and mTOR Pathway Genes Are Frequently Altered in Pancreatic Neuroendocrine Tumors Hit paper breakdown → | 2011 | 1410 |
| 7 | Pancreatic Intraepithelial Neoplasia Hit paper breakdown → | 2001 | 935 |
| 8 | Cetuximab Shows Activity in Colorectal Cancer Patients With Tumors That Do Not Express the Epidermal Growth Factor Receptor by Immunohistochemistry Hit paper breakdown → | 2005 | 921 |
| 9 | An Illustrated Consensus on the Classification of Pancreatic Intraepithelial Neoplasia and Intraductal Papillary Mucinous Neoplasms Hit paper breakdown → | 2004 | 858 |
| 10 | The Pathologic Classification of Neuroendocrine Tumors Hit paper breakdown → | 2010 | 841 |
| 11 | A common classification framework for neuroendocrine neoplasms: an International Agency for Research on Cancer (IARC) and World Health Organization (WHO) expert consensus proposal Hit paper breakdown → | 2018 | 825 |
| 12 | Intrahepatic Cholangiocarcinoma Hit paper breakdown → | 2008 | 723 |
| 13 | A Revised Classification System and Recommendations From the Baltimore Consensus Meeting for Neoplastic Precursor Lesions in the Pancreas Hit paper breakdown → | 2015 | 652 |
| 14 | Overview of the 2022 WHO Classification of Neuroendocrine Neoplasms Hit paper breakdown → | 2022 | 635 |
| 15 | 1996 | 618 | |
| 16 | Exome sequencing identifies frequent inactivating mutations in BAP1, ARID1A and PBRM1 in intrahepatic cholangiocarcinomas Hit paper breakdown → | 2013 | 566 |
| 17 | 2005 | 549 | |
| 18 | 1997 | 545 | |
| 19 | Whole-exome sequencing of neoplastic cysts of the pancreas reveals recurrent mutations in components of ubiquitin-dependent pathways Hit paper breakdown → | 2011 | 514 |
| 20 | 2001 | 509 |
About David S. Klimstra
David S. Klimstra is a scholar working on Oncology, Surgery, Epidemiology, Pathology and Forensic Medicine and Cancer Research, having authored 531 papers that have together received 67.6k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (185 papers), Neuroendocrine Tumor Research Advances (124 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (72 papers), Pancreatitis Pathology and Treatment (55 papers), Genetic factors in colorectal cancer (48 papers), Lung Cancer Research Studies (47 papers), Cancer Genomics and Diagnostics (45 papers) and Neuroblastoma Research and Treatments (43 papers). The work is most often cited by research in Oncology (37.2k citations), Cancer Research (8.2k citations), Epidemiology (17.0k citations), Surgery (18.4k citations) and Neurology (5.8k citations). David S. Klimstra has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Murray F. Brennan, Laura H. Tang, Kevin C. Conlon, Volkan N. Adsay, Ralph H. Hruban, Jinru Shia, William R. Jarnagin, Yuman Fong, Olca Baştürk and Mithat Gonen. Their work appears in journals such as The American Journal of Surgical Pathology, Modern Pathology, Annals of Surgery, Annals of Surgical Oncology and Human Pathology.
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.