G. Moll

1.8k citations
50 papers · 1.3k · h-index 20

Impact in

Papers in

G. Moll

45 papers receiving 1.2k citations

Peers

G. Moll
Comparison fields: 5 of 118
  • Reproductive Medicine 365
  • Endocrinology, Diabetes and Metabolism 442
  • Parasitology 93
  • Speech and Hearing 43
  • Public Health, Environmental and Occupational Health 171
Replace Sue Paterson with:
Sue Paterson United Kingdom
Alan Metz United States
Becky Marquez United States
Mark A. Lawson United States
J. L. VAITUKAITIS United States
Robert A. Shapiro United States
Lesley Powell United Kingdom
Ulrike Kaufmann Austria
M.A. Morales Mexico
Richard H. Fertel United States
G. Moll relative to Sue Paterson United Kingdom Sue Paterson's profile →
Citations per field
00.5×4.4×
Sue Paterson · 1×
Citations per year

Countries citing papers authored by G. Moll

Since Specialization
Citations

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

Fields of papers citing papers by G. Moll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993109
2 198186
3 197080
4 198680
5 199078
6 198672
7 200671
8 197969
9 198855
10 198653
11 198447
12 201141
13 198237
14 197635
15 198330
16 201229
17 198926
18 200525
19 197824
20
Parental depression, family functioning and obesity among African American children.
200819

About G. Moll

G. Moll is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Molecular Biology, Clinical Psychology and Infectious Diseases, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (7 papers), Hormonal and reproductive studies (7 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Child and Adolescent Psychosocial and Emotional Development (5 papers), Ovarian function and disorders (5 papers), Vector-borne infectious diseases (3 papers), Thyroid Disorders and Treatments (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Reproductive Medicine (365 citations), Endocrinology, Diabetes and Metabolism (442 citations), Parasitology (93 citations), Speech and Hearing (43 citations) and Public Health, Environmental and Occupational Health (171 citations). G. Moll has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Robert L. Rosenfield, A. S. Young, Richard W. Lymn, Leilani Greening, Sara S. Jordan, E. T. Kaiser, Edwin W. Taylor, Stephen Burstein, Laura Stoppelbein and B. L. Leitch. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Pediatrics, Global Pediatric Health, Journal of Biological Chemistry and Journal of Pediatric Psychology.

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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