James Mazella

1.4k citations
34 papers · 1.3k indexed · h-index 22

Impact in

Papers in

James Mazella

34 papers receiving 1.2k citations

Peers

James Mazella
Comparison fields: 5 of 73
  • Reproductive Medicine 533
  • Obstetrics and Gynecology 253
  • Immunology 634
  • Genetics 565
  • Endocrinology, Diabetes and Metabolism 176
Replace S. K. Das with:
S. K. Das United States
B. Hinney Germany
Khaled Zeitoun United States
Victor A. Chao United States
Lee-Chuan Kao United States
A. W. Brandenberger Switzerland
Hiroaki Jikihara Japan
Robert Benveniste United States
Bruce C. Moulton United States
Zongjuan Fang United States
James Mazella relative to S. K. Das United States S. K. Das's profile →
Citations per field
00.5×1.5×2.5×
S. K. Das · 1×
Citations per year

Countries citing papers authored by James Mazella

Since Specialization
Citations

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

Fields of papers citing papers by James Mazella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200934
2 20065
3 20063
4 200525
5 200345
6 200228
7 200229
8 200149
9 200048
10 20007
11 199939
12 199714
13 199517
14 199485
15 199444
16 199424
17 199358
18 1992122
19 199070
20 198919

About James Mazella

James Mazella is a scholar working on Reproductive Medicine, Immunology, Genetics, Occupational Therapy and Public Health, Environmental and Occupational Health, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (19 papers), Reproductive System and Pregnancy (18 papers), Endometriosis Research and Treatment (11 papers), Pregnancy-related medical research (9 papers), Reproductive Biology and Fertility (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Reproductive Physiology in Livestock (2 papers) and Occupational Health and Performance (2 papers). The work is most often cited by research in Reproductive Medicine (533 citations), Obstetrics and Gynecology (253 citations), Immunology (634 citations), Genetics (565 citations) and Endocrinology, Diabetes and Metabolism (176 citations). James Mazella has collaborated with scholars based in United States and Finland. Frequent co-authors include Linda Tseng, Jiaguo Gao, Hui Zhu, Meiyi Tang, D.R. Powell, Bernard Lane, William J. Mann, Martin L. Stone, John Chumas and Rong Chen. Their work appears in journals such as Molecular and Cellular Endocrinology, Human Reproduction, Endocrinology, Biology of Reproduction and DNA and Cell Biology.

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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