Phillip J. Lachmann
- Immunology top 10%
- Molecular Biology
- Immunology and Allergy top 5%
- Radiology, Nuclear Medicine and Imaging
- Cancer Research
- Co-authors
- Judith A. CainG D RossRonald D. SnyderGregory F. DavisEugène L. GirouxPrasad S. SunkaraGerald D. MayerNellikunja J. Prakash
- Topics
- Trace Elements in Health (5 papers)Heavy Metal Exposure and Toxicity (3 papers)Polyamine Metabolism and Applications (2 papers)
- Journals
- Journal of Biological ChemistryThe Journal of ImmunologyToxicology and Applied Pharmacology
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Phillip J. Lachmann
13 papers receiving 518 citations
Peers
Comparison fields: 5 of 79
- Immunology 218
- Molecular Biology 206
- Immunology and Allergy 98
- Radiology, Nuclear Medicine and Imaging 65
- Cancer Research 61
Countries citing papers authored by Phillip J. Lachmann
This map shows the geographic impact of Phillip J. Lachmann'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 Phillip J. Lachmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip J. Lachmann more than expected).
Fields of papers citing papers by Phillip J. Lachmann
This network shows the impact of papers produced by Phillip J. Lachmann. 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 Phillip J. Lachmann. The network helps show where Phillip J. Lachmann may publish in the future.
Co-authorship network of co-authors of Phillip J. Lachmann
This figure shows the co-authorship network connecting the top 25 collaborators of Phillip J. Lachmann. A scholar is included among the top collaborators of Phillip J. Lachmann 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 Phillip J. Lachmann. Phillip J. Lachmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Thiol involvement in the inhibition of DNA repair by metals in mammalian cells. | 21 |
| 2 | 18 | |
| 3 | 63 | |
| 4 | 14 | |
| 5 | 366 | |
| 6 | Effect of inhibition of polyamine biosynthesis by DL-alpha-difluoromethylornithine on the growth and melanogenesis of B16 melanoma in vitro and in vivo. | 33 |
| 7 | Potentiation of antitumor and antimetastatic activities of alpha-difluoromethylornithine by interferon inducers. | 11 |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 9 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | THE REACTION OF SODIUM AZIDE WITH FLUOROCHROMES. | 2 |
About Phillip J. Lachmann
Phillip J. Lachmann is a scholar working on Nutrition and Dietetics, Health, Toxicology and Mutagenesis and Biochemistry, having authored 13 papers that have together received 557 indexed citations. Recurring topics across this work include Trace Elements in Health (5 papers), Heavy Metal Exposure and Toxicity (3 papers) and Polyamine Metabolism and Applications (2 papers). The work is most often cited by research in Immunology and Allergy (98 citations), Immunology (218 citations) and Biochemistry (40 citations). Phillip J. Lachmann has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Judith A. Cain, G D Ross, Ronald D. Snyder, Gregory F. Davis, Eugène L. Giroux, Prasad S. Sunkara, Gerald D. Mayer, Nellikunja J. Prakash, Paul J. Schechter and Harold G. Petering. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and Toxicology and Applied Pharmacology.
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.