R. Graf
Impact in
- Obstetrics and Gynecology top 1%
- Pregnancy and preeclampsia studies
- Gestational Diabetes Research and Management
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- Birth, Development, and Health
- Prenatal Screening and Diagnostics
- Maternal and fetal healthcare
Papers in
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- Pregnancy and preeclampsia studies 22
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- Birth, Development, and Health 11
- Maternal and fetal healthcare 4
- Co-authors
- R. Gossrau (16 shared papers)K. Vetter (9 shared papers)Tom Hahn (5 shared papers)Gernot Desoyé (4 shared papers)Gottfried Dohr (3 shared papers)Gilbert Schönfelder (3 shared papers)Johannes M. H. M. Reul (1 shared paper)Hans‐Georg Frank (3 shared papers)
- Journals
- Placenta (11 papers)Histochemistry and Cell Biology (6 papers)Cell and Tissue Research (5 papers)Acta Histochemica (4 papers)Histopathology (1 paper)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
R. Graf
47 papers receiving 614 citations
Peers
Comparison fields: 5 of 97
- Obstetrics and Gynecology 337
- Pediatrics, Perinatology and Child Health 259
- Immunology 95
- Immunology and Allergy 18
- Physiology 11
Countries citing papers authored by R. Graf
This map shows the geographic impact of R. Graf'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 R. Graf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Graf more than expected).
Fields of papers citing papers by R. Graf
This network shows the impact of papers produced by R. Graf. 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 R. Graf. The network helps show where R. Graf may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Graf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 103 | |
| 2 | 1995 | 50 | |
| 3 | 1994 | 45 | |
| 4 | 1987 | 36 | |
| 5 | 1995 | 35 | |
| 6 | 1997 | 33 | |
| 7 | 2000 | 29 | |
| 8 | 1979 | 28 | |
| 9 | 1995 | 25 | |
| 10 | 2001 | 22 | |
| 11 | 1985 | 19 | |
| 12 | 1995 | 19 | |
| 13 | 1995 | 15 | |
| 14 | 2002 | 15 | |
| 15 | 1996 | 15 | |
| 16 | 1992 | 14 | |
| 17 | 1989 | 13 | |
| 18 | 1988 | 12 | |
| 19 | 1999 | 11 | |
| 20 | 1999 | 9 |
About R. Graf
R. Graf is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Molecular Biology, Surgery and Genetics, having authored 47 papers that have together received 660 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (22 papers), Birth, Development, and Health (11 papers), Connective tissue disorders research (4 papers), Maternal and fetal healthcare (4 papers), Neonatal Respiratory Health Research (4 papers), Trace Elements in Health (3 papers), Pregnancy and Medication Impact (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Obstetrics and Gynecology (337 citations), Pediatrics, Perinatology and Child Health (259 citations), Immunology (95 citations), Immunology and Allergy (18 citations) and Physiology (11 citations). R. Graf has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include R. Gossrau, K. Vetter, Tom Hahn, Gernot Desoyé, Gottfried Dohr, Gilbert Schönfelder, Johannes M. H. M. Reul, Hans‐Georg Frank, Mario Engelmann and Sonja Barth. Their work appears in journals such as Placenta, Histochemistry and Cell Biology, Cell and Tissue Research, Acta Histochemica and Histopathology.
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.