Daniel A. Rappolee

88 papers receiving 4.9k citations

Daniel A. Rappolee's Hit Papers

Wound Macrophages Express TGF-α and Other Growth Factors in Vivo: Analysis by mRNA Phenotyping 1988 · 925 citations
9250+12+25Years since publication250500750

Peers

Daniel A. Rappolee
Comparison fields: 5 of 130
  • Aging 78
  • Public Health, Environmental and Occupational Health 1.1k
  • Molecular Biology 2.7k
  • Obstetrics and Gynecology 298
  • Reproductive Medicine 306
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Citations per year

Countries citing papers authored by Daniel A. Rappolee

Since Specialization
Citations

This map shows the geographic impact of Daniel A. Rappolee'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 Daniel A. Rappolee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Rappolee more than expected).

Fields of papers citing papers by Daniel A. Rappolee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Rappolee. 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 Daniel A. Rappolee. The network helps show where Daniel A. Rappolee may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel A. Rappolee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel A. Rappolee Line = papers co-authored together Daniel A. Rappolee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Wound Macrophages Express TGF-α and Other Growth Factors in Vivo: Analysis by mRNA Phenotyping
Hit paper breakdown →
1988925
2
Developmental Expression of PDGF, TGF-α, and TGF-β Genes in Preimplantation Mouse Embryos
Hit paper breakdown →
1988583
3 1989332
4 1989247
5 1992243
6 1996216
7 1994147
8 2020146
9 1990125
10 2011115
11 1992111
12 1998101
13 200684
14 200774
15 199072
16 200469
17 201566
18 199661
19 200557
20 199549

About Daniel A. Rappolee

Daniel A. Rappolee is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Obstetrics and Gynecology, Genetics and Surgery, having authored 88 papers that have together received 5.0k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (39 papers), Pluripotent Stem Cells Research (32 papers), Pregnancy and preeclampsia studies (13 papers), Renal and related cancers (12 papers), Epigenetics and DNA Methylation (12 papers), Fibroblast Growth Factor Research (11 papers), Reproductive System and Pregnancy (8 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Aging (78 citations), Public Health, Environmental and Occupational Health (1.1k citations), Molecular Biology (2.7k citations), Obstetrics and Gynecology (298 citations) and Reproductive Medicine (306 citations). Daniel A. Rappolee has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Zena Werb, Mark David, Michael J. Banda, Elizabeth E. Puscheck, Carol A. Brenner, Richard M. Schultz, Yogesh Patel, Roger A. Pedersen, Alice Wang and Yufen Xie. Their work appears in journals such as Fertility and Sterility, Stem Cells and Development, Journal of Assisted Reproduction and Genetics, Biology of Reproduction and Reproductive Sciences.

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.

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