Martin Lang
- Molecular Biology
- Genetics top 5%
- Pulmonary and Respiratory Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cancer Research top 10%
- Co-authors
- W. Marston LinehanGiuseppe GasparreChristopher J. RickettsMarcella AttimonelliLaura S. SchmidtDarmood WeiDomenico SimoneRamaprasad Srinivasan
- Topics
- Mitochondrial Function and Pathology (8 papers)Renal cell carcinoma treatment (7 papers)Metabolism and Genetic Disorders (5 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Martin Lang
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 671
- Genetics 361
- Pulmonary and Respiratory Medicine 262
- Endocrinology, Diabetes and Metabolism 257
- Cancer Research 247
Countries citing papers authored by Martin Lang
This map shows the geographic impact of Martin Lang'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 Martin Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Lang more than expected).
Fields of papers citing papers by Martin Lang
This network shows the impact of papers produced by Martin Lang. 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 Martin Lang. The network helps show where Martin Lang may publish in the future.
Co-authorship network of co-authors of Martin Lang
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Lang. A scholar is included among the top collaborators of Martin Lang 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 Martin Lang. Martin Lang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 17 | |
| 6 | 25 | |
| 7 | 16 | |
| 8 | 37 | |
| 9 | 15 | |
| 10 | Genetic interrelations in the actinomycin biosynthetic gene clusters of Streptomyces antibioticus IMRU 3720 and Streptomyces chrysomallus ATCC11523, producers of actinomycin X and actinomycin C | 6 |
| 11 | 87 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | 19 | |
| 16 | 37 | |
| 17 | 65 | |
| 18 | 65 | |
| 19 | 17 | |
| 20 | 44 |
About Martin Lang
Martin Lang is a scholar working on Clinical Biochemistry, Cancer Research and Genetics, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (8 papers), Renal cell carcinoma treatment (7 papers) and Metabolism and Genetic Disorders (5 papers). The work is most often cited by research in Cancer Research (247 citations), Endocrinology, Diabetes and Metabolism (257 citations) and Clinical Biochemistry (89 citations). Martin Lang has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include W. Marston Linehan, Giuseppe Gasparre, Christopher J. Ricketts, Marcella Attimonelli, Laura S. Schmidt, Darmood Wei, Domenico Simone, Ramaprasad Srinivasan, Daniel R. Crooks and Francesco Maria Calabrese. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Nucleic Acids Research.
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.