Marla J. Lay
Impact in
- Clinical Biochemistry top 1%
- Bacterial Identification and Susceptibility Testing
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
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- Bacterial Identification and Susceptibility Testing 2
-
- Blood Coagulation and Thrombosis Mechanisms 3
- Co-authors
- Carl T. Wittwer (3 shared papers)James L. Zehnder (8 shared papers)Philip Seth Bernard (1 shared paper)Carol D. Jones (2 shared papers)Jason R. Gotlib (2 shared papers)Jeffrey A. Durocher (1 shared paper)Irving L. Weissman (1 shared paper)Stan L. Lilleberg (1 shared paper)
- Journals
- American Journal of Clinical Pathology (3 papers)Journal of Molecular Diagnostics (2 papers)Antiviral Research (1 paper)BioTechniques (1 paper)Analytical Biochemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Marla J. Lay
18 papers receiving 1.5k citations
Marla J. Lay's Hit Papers
Peers
Comparison fields: 5 of 63
- Clinical Biochemistry 253
- Genetics 214
- Hematology 109
- Parasitology 38
- Epidemiology 121
Countries citing papers authored by Marla J. Lay
This map shows the geographic impact of Marla J. Lay'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 Marla J. Lay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marla J. Lay more than expected).
Fields of papers citing papers by Marla J. Lay
This network shows the impact of papers produced by Marla J. Lay. 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 Marla J. Lay. The network helps show where Marla J. Lay may publish in the future.
Co-authors
The 25 scholars most cited alongside Marla J. Lay, 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 | Analytical and clinical validation of a microbial cell-free DNA sequencing test for infectious disease Hit paper breakdown → | 2019 | 692 |
| 2 | 1997 | 274 | |
| 3 | 2006 | 249 | |
| 4 | 1998 | 118 | |
| 5 | 2023 | 51 | |
| 6 | 2009 | 46 | |
| 7 | 2006 | 27 | |
| 8 | 2003 | 23 | |
| 9 | 2003 | 22 | |
| 10 | 2009 | 21 | |
| 11 | 2007 | 20 | |
| 12 | 1999 | 19 | |
| 13 | 2008 | 14 | |
| 14 | 2004 | 10 | |
| 15 | 2005 | 8 | |
| 16 | 2010 | 5 | |
| 17 | 1999 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2003 | 2 |
About Marla J. Lay
Marla J. Lay is a scholar working on Clinical Biochemistry, Hematology, Genetics, Epidemiology and Immunology, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Clinical Laboratory Practices and Quality Control (1 paper), Retinoids in leukemia and cellular processes (1 paper), Hepatitis B Virus Studies (1 paper), Connective tissue disorders research (1 paper) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Clinical Biochemistry (253 citations), Genetics (214 citations), Hematology (109 citations), Parasitology (38 citations) and Epidemiology (121 citations). Marla J. Lay has collaborated with scholars based in United States. Frequent co-authors include Carl T. Wittwer, James L. Zehnder, Philip Seth Bernard, Carol D. Jones, Jason R. Gotlib, Jeffrey A. Durocher, Irving L. Weissman, Stan L. Lilleberg, Catriona H. M. Jamieson and Mark Ping Chao. Their work appears in journals such as American Journal of Clinical Pathology, Journal of Molecular Diagnostics, Antiviral Research, BioTechniques and Analytical Biochemistry.
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.