Lisa V. Kalman
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 13
- Genetics top 5%
- Genomics and Rare Diseases 10
- Bacterial Genetics and Biotechnology 7
- BRCA gene mutations in cancer 3
- Aging top 10%
- Endocrinology top 5%
- Transplantation top 10%
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- Statistical Methods in Clinical Trials 6
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- Pharmaceutical studies and practices 6
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- Cancer Genomics and Diagnostics 4
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- Amino Acid Enzymes and Metabolism 3
- Co-authors
- Robert P. GunsalusVictoria M. PrattStuart A. ScottIra M. LubinKaren E. WeckHouda HachadYuan JiAndria L. Del Tredici
- Cited by
- PharmacologyGeneticsAging
- Journals
- Journal of Molecular Diagnostics (23 papers)Journal of Bacteriology (5 papers)Molecular Microbiology (2 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Lisa V. Kalman
44 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Pharmacology 452
- Genetics 628
- Aging 34
- Endocrinology 94
- Transplantation 43
Countries citing papers authored by Lisa V. Kalman
This map shows the geographic impact of Lisa V. Kalman'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 Lisa V. Kalman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa V. Kalman more than expected).
Fields of papers citing papers by Lisa V. Kalman
This network shows the impact of papers produced by Lisa V. Kalman. 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 Lisa V. Kalman. The network helps show where Lisa V. Kalman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lisa V. Kalman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 21 | |
| 2 | 2023 Australian guideline for assessing and managing cardiovascular disease riskbreakdown → | 2024 | 35 |
| 3 | 2023 | 1 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 33 | |
| 6 | 2022 | 28 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 97 | |
| 9 | 2021 | 11 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 45 | |
| 12 | 2019 | 54 | |
| 13 | 2018 | 141 | |
| 14 | 2015 | 107 | |
| 15 | 2011 | 18 | |
| 16 | 2010 | 36 | |
| 17 | 2009 | 27 | |
| 18 | 2007 | 16 | |
| 19 | 2004 | 86 | |
| 20 | 1989 | 38 |
About Lisa V. Kalman
Lisa V. Kalman is a scholar working on Pharmacology, Transplantation, Statistics and Probability, Genetics and Aging, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (13 papers), Genomics and Rare Diseases (10 papers), Bacterial Genetics and Biotechnology (7 papers), Statistical Methods in Clinical Trials (6 papers), Pharmaceutical studies and practices (6 papers), Cancer Genomics and Diagnostics (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and BRCA gene mutations in cancer (3 papers). The work is most often cited by research in Pharmacology (452 citations), Genetics (628 citations), Aging (34 citations), Endocrinology (94 citations) and Transplantation (43 citations). Lisa V. Kalman has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Robert P. Gunsalus, Victoria M. Pratt, Stuart A. Scott, Ira M. Lubin, Karen E. Weck, Houda Hachad, Yuan Ji, Andria L. Del Tredici, Amy S. Gargis and Andrea Gaedigk. Their work appears in journals such as Journal of Molecular Diagnostics, Journal of Bacteriology, Molecular Microbiology, Genetics in Medicine and Advances in experimental medicine and biology.
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.