Suzana Tulač
- Immunology top 1%
- Reproductive Medicine top 0.2%
- Obstetrics and Gynecology top 0.5%
- Molecular Biology
- Genetics top 5%
- Co-authors
- Linda C. GiudiceBruce A. LesseyAriane GermeyerS. LoboL.C. KaoRobert N. TaylorKevin G. OsteenJie Yang
- Topics
- Reproductive System and Pregnancy (11 papers)Endometriosis Research and Treatment (9 papers)Cancer Genomics and Diagnostics (4 papers)
- Partner nations
- United StatesCroatiaChina
In The Last Decade
Suzana Tulač
20 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Immunology 1.8k
- Reproductive Medicine 1.6k
- Obstetrics and Gynecology 980
- Molecular Biology 475
- Genetics 436
Countries citing papers authored by Suzana Tulač
This map shows the geographic impact of Suzana Tulač'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 Suzana Tulač with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzana Tulač more than expected).
Fields of papers citing papers by Suzana Tulač
This network shows the impact of papers produced by Suzana Tulač. 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 Suzana Tulač. The network helps show where Suzana Tulač may publish in the future.
Co-authorship network of co-authors of Suzana Tulač
This figure shows the co-authorship network connecting the top 25 collaborators of Suzana Tulač. A scholar is included among the top collaborators of Suzana Tulač based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suzana Tulač. Suzana Tulač is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 164 | |
| 6 | 108 | |
| 7 | 462 | |
| 8 | 65 | |
| 9 | 40 | |
| 10 | 9 | |
| 11 | 72 | |
| 12 | 93 | |
| 13 | 23 | |
| 14 | 180 | |
| 15 | Expression Profiling of Endometrium from Women with Endometriosis Reveals Candidate Genes for Disease-Based Implantation Failure and Infertilitybreakdown → | 542 |
| 16 | 87 | |
| 17 | Effect of BAP, TDZ and CPPU on multiple shoot formation in pea [Pisum sativum L.] in culture in vitro | 3 |
| 18 | Global Gene Profiling in Human Endometrium during the Window of Implantationbreakdown → | 587 |
| 19 | 25 | |
| 20 | Novel inhibitors of poly(ADP-ribose) polymerase/PARP1 and PARP2 identified using a cell-based screen in yeast. | 84 |
About Suzana Tulač
Suzana Tulač is a scholar working on Reproductive Medicine, Immunology and Obstetrics and Gynecology, having authored 21 papers that have together received 2.6k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (11 papers), Endometriosis Research and Treatment (9 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Reproductive Medicine (1.6k citations), Obstetrics and Gynecology (980 citations) and Immunology (1.8k citations). Suzana Tulač has collaborated with scholars based in United States, Croatia and China. Frequent co-authors include Linda C. Giudice, Bruce A. Lessey, Ariane Germeyer, S. Lobo, L.C. Kao, Robert N. Taylor, Kevin G. Osteen, Jie Yang, Michael T. Overgaard and Amy E. Hamilton. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer Research and The FASEB Journal.
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.