Jennifer B. Ford

4.0k citations
122 papers · 3.1k indexed · h-index 34

Jennifer B. Ford

117 papers receiving 3.1k citations

Peers

Jennifer B. Ford
Comparison fields: 5 of 129
  • Health, Toxicology and Mutagenesis 2.2k
  • Reproductive Medicine 542
  • Pediatrics, Perinatology and Child Health 711
  • Environmental Chemistry 231
  • Pollution 225
Replace Lidia Mínguez‐Alarcón with:
Lidia Mínguez‐Alarcón United States
Shelley Ehrlich United States
Yu‐Han Chiu United States
Carmen Messerlian United States
Joanna Jurewicz Poland
Wei Yuan China
John C. Petrozza United States
Elizabeth Padilla‐Banks United States
Maohua Miao China
Cécile Chevrier France
Jennifer B. Ford relative to Lidia Mínguez‐Alarcón United States Lidia Mínguez‐Alarcón's profile →
Citations per field
00.5×1.5×
Lidia Mínguez‐Alarcón · 1×
Citations per year

Countries citing papers authored by Jennifer B. Ford

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer B. Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer B. Ford. 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 Jennifer B. Ford. The network helps show where Jennifer B. Ford may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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11 20236
12 20231
13 20239
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15 20235
16 202212
17 202223
18 201833
19 201838
20 201695

About Jennifer B. Ford

Jennifer B. Ford is a scholar working on Health, Toxicology and Mutagenesis, Reproductive Medicine and Pediatrics, Perinatology and Child Health, having authored 122 papers that have together received 3.1k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (68 papers), Birth, Development, and Health (20 papers), Ovarian function and disorders (18 papers), Toxic Organic Pollutants Impact (17 papers), Assisted Reproductive Technology and Twin Pregnancy (17 papers), Reproductive Health and Technologies (16 papers), Reproductive Biology and Fertility (15 papers) and Health, Environment, Cognitive Aging (8 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.2k citations), Reproductive Medicine (542 citations) and Pediatrics, Perinatology and Child Health (711 citations). Jennifer B. Ford has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Russ Hauser, Paige L. Williams, Lidia Mínguez‐Alarcón, Antonia M. Calafat, Irene Souter, Jorge E. Chavarro, Carmen Messerlian, Audrey J. Gaskins, Yu‐Han Chiu and Thomas L. Toth. Their work appears in journals such as Fertility and Sterility, Environment International, Environmental Research, Human Reproduction and International Journal of Hygiene and Environmental Health.

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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