S.-A. Wandji

1.1k total citations
8 papers, 855 citations indexed

About

S.-A. Wandji is a scholar working on Public Health, Environmental and Occupational Health, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, S.-A. Wandji has authored 8 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 4 papers in Agronomy and Crop Science and 3 papers in Molecular Biology. Recurrent topics in S.-A. Wandji's work include Reproductive Biology and Fertility (5 papers), Reproductive Physiology in Livestock (3 papers) and Animal Nutrition and Physiology (1 paper). S.-A. Wandji is often cited by papers focused on Reproductive Biology and Fertility (5 papers), Reproductive Physiology in Livestock (3 papers) and Animal Nutrition and Physiology (1 paper). S.-A. Wandji collaborates with scholars based in United States, Czechia and Canada. S.-A. Wandji's co-authors include J. E. Fortune, John J. Eppig, Vlastimil Sršeň, Anne K. Voss, Peter W. Nathanielsz, James M. Hammond, John E. Gadsby, Seiji Kito, Carolyn M. Komar and A.C.O. Evans and has published in prestigious journals such as Endocrinology, Human Reproduction and Biology of Reproduction.

In The Last Decade

S.-A. Wandji

8 papers receiving 813 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
S.-A. Wandji United States	8	720	429	316	244	174	8	855
C. L. Moeller United States	10	578 0.8×	215 0.5×	282 0.9×	460 1.9×	321 1.8×	12	933
J.J.H. Celestino Brazil	19	1.1k 1.5×	685 1.6×	267 0.8×	338 1.4×	176 1.0×	46	1.2k
Roberta Nogueira Chaves Brazil	21	1.0k 1.4×	661 1.5×	274 0.9×	313 1.3×	161 0.9×	49	1.1k
M. V. A. Saraiva Brazil	21	1.0k 1.4×	627 1.5×	303 1.0×	320 1.3×	179 1.0×	59	1.1k
F.S. Martins Brazil	16	782 1.1×	490 1.1×	201 0.6×	256 1.0×	120 0.7×	28	841
Ieuan M. Joyce United Kingdom	10	603 0.8×	356 0.8×	324 1.0×	98 0.4×	143 0.8×	10	690
Laurel D. Quirke New Zealand	16	801 1.1×	376 0.9×	382 1.2×	378 1.5×	394 2.3×	29	1.1k
Rajadurai Rajamahendran Canada	7	381 0.5×	205 0.5×	164 0.5×	184 0.8×	144 0.8×	13	544
P F Whitelaw United Kingdom	12	491 0.7×	464 1.1×	253 0.8×	105 0.4×	189 1.1×	14	881
BK Campbell United Kingdom	11	534 0.7×	172 0.4×	280 0.9×	297 1.2×	371 2.1×	19	817

Countries citing papers authored by S.-A. Wandji

Since Specialization

Citations

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

Fields of papers citing papers by S.-A. Wandji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.-A. Wandji. 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 S.-A. Wandji. The network helps show where S.-A. Wandji may publish in the future.

Co-authorship network of co-authors of S.-A. Wandji

This figure shows the co-authorship network connecting the top 25 collaborators of S.-A. Wandji. A scholar is included among the top collaborators of S.-A. Wandji based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S.-A. Wandji. S.-A. Wandji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Wandji, S.-A., et al.. (2000). Porcine Ovarian Cells Express Messenger Ribonucleic Acids for the Acid-Labile Subunit and Insulin-Like Growth Factor Binding Protein-3 during Follicular and Luteal Phases of the Estrous Cycle¹. Endocrinology. 141(7). 2638–2647. 30 indexed citations

Wandji, S.-A., et al.. (2000). Messenger Ribonucleic Acids for MAC25 and Connective Tissue Growth Factor (CTGF) Are Inversely Regulated during Folliculogenesis and Early Luteogenesis¹. Endocrinology. 141(7). 2648–2657. 79 indexed citations

Fortune, J. E., Seiji Kito, S.-A. Wandji, & Vlastimil Sršeň. (1998). Activation of bovine and baboon primordial follicles in vitro. Theriogenology. 49(2). 441–449. 82 indexed citations

Wandji, S.-A., et al.. (1997). Initiation of growth of baboon primordial follicles in vitro. Human Reproduction. 12(9). 1993–2001. 180 indexed citations

Evans, A.C.O., Carolyn M. Komar, S.-A. Wandji, & J. E. Fortune. (1997). Changes in Androgen Secretion and Luteinizing Hormone Pulse Amplitude are Associated with the Recruitment and Growth of Ovarian Follicles during the Luteal Phase of the Bovine Estrous Cycle1. Biology of Reproduction. 57(2). 394–401. 63 indexed citations

Wandji, S.-A., Vlastimil Sršeň, Anne K. Voss, John J. Eppig, & J. E. Fortune. (1996). Initiation in Vitro of Growth of Bovine Primordial Follicles1. Biology of Reproduction. 55(5). 942–948. 258 indexed citations

Wandji, S.-A., John J. Eppig, & J. E. Fortune. (1996). FSH and growth factors affect the growth and endocrine function in vitro of granulosa cells of bovine preantral follicles. Theriogenology. 45(4). 817–832. 147 indexed citations

Wandji, S.-A., et al.. (1989). Effects of intrahypothalamic injections of GABA, muscimol, pentobarbital, and L-glutamic acid on feed intake of satiated sheep. Canadian Journal of Physiology and Pharmacology. 67(1). 5–9. 16 indexed citations

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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