Christopher D. Putnam
- Molecular Biology top 1%
- Materials Chemistry top 10%
- Genetics top 5%
- Pathology and Forensic Medicine top 2%
- Immunology top 5%
- Co-authors
- John A. TainerRichard D. KolodnerGreg L. HuraMichal HammelKyungjae MyungA.S. ArvaiYves BourneSudip S. Parikh
- Topics
- DNA Repair Mechanisms (40 papers)Genetic factors in colorectal cancer (22 papers)RNA Research and Splicing (20 papers)
- Partner nations
- United StatesBelgiumGermany
In The Last Decade
Christopher D. Putnam
78 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 4.7k
- Materials Chemistry 691
- Genetics 627
- Pathology and Forensic Medicine 617
- Immunology 605
Countries citing papers authored by Christopher D. Putnam
This map shows the geographic impact of Christopher D. Putnam'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 Christopher D. Putnam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher D. Putnam more than expected).
Fields of papers citing papers by Christopher D. Putnam
This network shows the impact of papers produced by Christopher D. Putnam. 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 Christopher D. Putnam. The network helps show where Christopher D. Putnam may publish in the future.
Co-authorship network of co-authors of Christopher D. Putnam
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher D. Putnam. A scholar is included among the top collaborators of Christopher D. Putnam 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 Christopher D. Putnam. Christopher D. Putnam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 7 | |
| 3 | 18 | |
| 4 | 11 | |
| 5 | 49 | |
| 6 | 35 | |
| 7 | 30 | |
| 8 | 106 | |
| 9 | 54 | |
| 10 | 33 | |
| 11 | 66 | |
| 12 | 40 | |
| 13 | 68 | |
| 14 | 277 | |
| 15 | 49 | |
| 16 | X-ray solution scattering (SAXS) combined with crystallography and computation: defining accurate macromolecular structures, conformations and assemblies in solutionbreakdown → | 941 |
| 17 | 137 | |
| 18 | 31 | |
| 19 | 391 | |
| 20 | 116 |
About Christopher D. Putnam
Christopher D. Putnam is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Cancer Research, having authored 79 papers that have together received 5.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (40 papers), Genetic factors in colorectal cancer (22 papers) and RNA Research and Splicing (20 papers). The work is most often cited by research in Molecular Biology (4.7k citations), Pathology and Forensic Medicine (617 citations) and Cancer Research (494 citations). Christopher D. Putnam has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include John A. Tainer, Richard D. Kolodner, Greg L. Hura, Michal Hammel, Kyungjae Myung, A.S. Arvai, Yves Bourne, Sudip S. Parikh, Craig S. Pikaard and Tikvah K. Hayes. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.