K M Linner
Impact in
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- Neuropeptides and Animal Physiology
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- Reproductive System and Pregnancy
- Immune Cell Function and Interaction
Papers in
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- Receptor Mechanisms and Signaling 5
- Pharmacological Receptor Mechanisms and Effects 2
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- Neuropeptides and Animal Physiology 7
- Co-authors
- Burt M. Sharp (7 shared papers)Heidi E. Quist (3 shared papers)Richard C. Gehrz (5 shared papers)Henry H. Balfour (2 shared papers)Nahid Shahabi (1 shared paper)H. STEPHEN BEYER (1 shared paper)Susan E. Nicol (1 shared paper)H H Balfour (1 shared paper)
- Journals
- Endocrinology (4 papers)The Journal of Infectious Diseases (1 paper)Human Immunology (1 paper)American Journal of Obstetrics and Gynecology (1 paper)Neuroendocrinology (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
K M Linner
14 papers receiving 308 citations
Peers
Comparison fields: 5 of 61
- Cellular and Molecular Neuroscience 159
- Immunology 86
- Behavioral Neuroscience 11
- Epidemiology 77
- Microbiology 14
Countries citing papers authored by K M Linner
This map shows the geographic impact of K M Linner'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 K M Linner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K M Linner more than expected).
Fields of papers citing papers by K M Linner
This network shows the impact of papers produced by K M Linner. 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 K M Linner. The network helps show where K M Linner may publish in the future.
Co-authors
The 25 scholars most cited alongside K M Linner, 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 | 1995 | 67 | |
| 2 | 1981 | 45 | |
| 3 | 1981 | 43 | |
| 4 | 1990 | 40 | |
| 5 | 1991 | 26 | |
| 6 | Cytomegalovirus infection in infancy: virological and immunological studies. | 1982 | 25 |
| 7 | 1996 | 20 | |
| 8 | 1993 | 14 | |
| 9 | 1998 | 11 | |
| 10 | 1996 | 11 | |
| 11 | 1986 | 10 | |
| 12 | 1985 | 9 | |
| 13 | Defective membrane function in a patient with severe combined immunodeficiency disease. | 1980 | 8 |
| 14 | 2008 | 2 |
About K M Linner
K M Linner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Epidemiology and Psychiatry and Mental health, having authored 14 papers that have together received 331 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (7 papers), Receptor Mechanisms and Signaling (5 papers), Cytomegalovirus and herpesvirus research (4 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), T-cell and B-cell Immunology (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Immune Cell Function and Interaction (2 papers) and Pregnancy and Medication Impact (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (159 citations), Immunology (86 citations), Behavioral Neuroscience (11 citations), Epidemiology (77 citations) and Microbiology (14 citations). K M Linner has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Burt M. Sharp, Heidi E. Quist, Richard C. Gehrz, Henry H. Balfour, Nahid Shahabi, H. STEPHEN BEYER, Susan E. Nicol, H H Balfour, Fritz H. Bach and John H. Kersey. Their work appears in journals such as Endocrinology, The Journal of Infectious Diseases, Human Immunology, American Journal of Obstetrics and Gynecology and Neuroendocrinology.
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.