David Eierman
Impact in
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research
- Immunology top 5%
- Reproductive System and Pregnancy
- Immune Response and Inflammation
- Immune Cell Function and Interaction
Papers in
-
- Immune Response and Inflammation 3
- Reproductive System and Pregnancy 2
- Immune cells in cancer 2
-
- S100 Proteins and Annexins 3
- Co-authors
- Stephen Haskill (3 shared papers)Chris Johnson (2 shared papers)Kenneth G. Warren (1 shared paper)Sarah Becker (1 shared paper)Scott W. Kauma (2 shared papers)J. S. Haskill (1 shared paper)Andrew D. Yurochko (1 shared paper)Stephen C. Strom (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)The Journal of Immunology (3 papers)Experimental Cell Research (2 papers)Journal of Cell Science (1 paper)American Journal of Obstetrics and Gynecology (1 paper)
- Partner nations
- United StatesSweden
In The Last Decade
David Eierman
12 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Immunology and Allergy 439
- Immunology 728
- Obstetrics and Gynecology 108
- Reproductive Medicine 108
- Cancer Research 158
Countries citing papers authored by David Eierman
This map shows the geographic impact of David Eierman'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 David Eierman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Eierman more than expected).
Fields of papers citing papers by David Eierman
This network shows the impact of papers produced by David Eierman. 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 David Eierman. The network helps show where David Eierman may publish in the future.
Co-authors
The 25 scholars most cited alongside David Eierman, 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 | 1988 | 361 | |
| 2 | 1990 | 226 | |
| 3 | 1992 | 205 | |
| 4 | 1990 | 178 | |
| 5 | 1989 | 174 | |
| 6 | 1991 | 90 | |
| 7 | 1995 | 33 | |
| 8 | 1995 | 21 | |
| 9 | 1982 | 14 | |
| 10 | 1996 | 9 | |
| 11 | 1994 | 8 | |
| 12 | 1986 | 5 |
About David Eierman
David Eierman is a scholar working on Immunology, Molecular Biology, Immunology and Allergy, Obstetrics and Gynecology and Nutrition and Dietetics, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (5 papers), S100 Proteins and Annexins (3 papers), Immune Response and Inflammation (3 papers), Microbial Metabolites in Food Biotechnology (2 papers), Pregnancy and preeclampsia studies (2 papers), Reproductive System and Pregnancy (2 papers), Immune cells in cancer (2 papers) and Antioxidant Activity and Oxidative Stress (2 papers). The work is most often cited by research in Immunology and Allergy (439 citations), Immunology (728 citations), Obstetrics and Gynecology (108 citations), Reproductive Medicine (108 citations) and Cancer Research (158 citations). David Eierman has collaborated with scholars based in United States and Sweden. Frequent co-authors include Stephen Haskill, Chris Johnson, Kenneth G. Warren, Sarah Becker, Scott W. Kauma, J. S. Haskill, Andrew D. Yurochko, Stephen C. Strom, Dennis W. Matt and Martha Ladner. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology, Experimental Cell Research, Journal of Cell Science and American Journal of Obstetrics and Gynecology.
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.