Melissa Paczkowski

767 citations
20 papers · 569 · h-index 11

Impact in

Papers in

Melissa Paczkowski

19 papers receiving 559 citations

Peers

Melissa Paczkowski
Comparison fields: 5 of 61
  • Reproductive Medicine 152
  • Public Health, Environmental and Occupational Health 299
  • Pediatrics, Perinatology and Child Health 88
  • Aging 9
  • Molecular Biology 277
Replace Zhipeng Wang with:
Zhipeng Wang China
France Filion Canada
Yinxue Xu China
D. Feil Australia
Chihiro Emori Japan
Arjan Boerke Netherlands
Pablo E. Visconti United States
Érika Cristina dos Santos Brazil
Maria João Freitas Portugal
Prudencio Tossou Canada
Melissa Paczkowski relative to Zhipeng Wang China Zhipeng Wang's profile →
Citations per field
00.5×4.2×
Zhipeng Wang · 1×
Citations per year

Countries citing papers authored by Melissa Paczkowski

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Paczkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa Paczkowski. 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 Melissa Paczkowski. The network helps show where Melissa Paczkowski may publish in the future.

Co-authors

The 25 scholars most cited alongside Melissa Paczkowski, 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 Melissa Paczkowski Line = papers co-authored together Melissa Paczkowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2003111
2 2013106
3 201456
4 201255
5 201548
6 201143
7 201131
8 201231
9 201528
10 200923
11 201213
12 20116
13 20134
14 20064
15 20073
16 20103
17 20122
18 20151
19 20111
20 20120

About Melissa Paczkowski

Melissa Paczkowski is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health and Reproductive Medicine, having authored 20 papers that have together received 569 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (14 papers), Animal Genetics and Reproduction (6 papers), Pluripotent Stem Cells Research (3 papers), Birth, Development, and Health (3 papers), Ovarian function and disorders (2 papers), Sperm and Testicular Function (2 papers), Bioinformatics and Genomic Networks (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Reproductive Medicine (152 citations), Public Health, Environmental and Occupational Health (299 citations), Pediatrics, Perinatology and Child Health (88 citations), Aging (9 citations) and Molecular Biology (277 citations). Melissa Paczkowski has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Rebecca L. Krisher, William B. Schoolcraft, Elena Silva, Ye Yuan, Jerry Tsai, Rosaria Russo, David Bailey, De Huang, Ernesto J. Fuentes and N Baumann. Their work appears in journals such as Biology of Reproduction, Reproduction Fertility and Development, Journal of Assisted Reproduction and Genetics, Journal of Animal Science and Gene.

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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