Tom Ducibella

2.7k citations
31 papers · 2.3k indexed · h-index 25

Impact in

    • Sperm and Testicular Function
    • Ovarian function and disorders
  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms

Papers in

Tom Ducibella

31 papers receiving 2.3k citations

Peers

Tom Ducibella
Comparison fields: 5 of 84
  • Reproductive Medicine 1.3k
  • Aging 121
  • Public Health, Environmental and Occupational Health 1.9k
  • Cell Biology 313
  • Molecular Biology 889
Replace Mark G. Larman with:
Mark G. Larman United Kingdom
Lisa M. Mehlmann United States
Jean‐Pierre Ozil France
Rachael P. Norris United States
P. H. Glenister United Kingdom
Takehito Kaneko Japan
F. Kent Hamra United States
José Luis de la Vega‐Beltrán Mexico
Natsuko Kawano Japan
Sigrid Hoyer‐Fender Germany
Tom Ducibella relative to Mark G. Larman United Kingdom Mark G. Larman's profile →
Citations per field
00.5×1.5×2.1×
Mark G. Larman · 1×
Citations per year

Countries citing papers authored by Tom Ducibella

Since Specialization
Citations

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

Fields of papers citing papers by Tom Ducibella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002319
2 2008180
3 1997172
4 1988167
5 1990148
6 2005143
7 1990101
8 200498
9 199994
10 199387
11 200378
12 199467
13 200559
14 198858
15 197955
16 199748
17 199947
18 199446
19 199845
20 199642

About Tom Ducibella

Tom Ducibella is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Aging, Biophysics and Physiology, having authored 31 papers that have together received 2.3k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (29 papers), Sperm and Testicular Function (18 papers), Ovarian function and disorders (13 papers), Pluripotent Stem Cells Research (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Pancreatic function and diabetes (2 papers), Signaling Pathways in Disease (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Reproductive Medicine (1.3k citations), Aging (121 citations), Public Health, Environmental and Occupational Health (1.9k citations), Cell Biology (313 citations) and Molecular Biology (889 citations). Tom Ducibella has collaborated with scholars based in United States, Belgium and France. Frequent co-authors include Rafael A. Fissore, Richard M. Schultz, Sara Matson, Allison L. Abbott, Gregory S. Kopf, Styliani Markoulaki, Everett Anderson, Paul Duffy, Daniel Huneau and Jean‐Pierre Ozil. Their work appears in journals such as Developmental Biology, Biology of Reproduction, Molecular Human Reproduction, Fertility and Sterility and Endocrine Pathology.

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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