C. Schilling

484 total citations
10 papers, 395 citations indexed

About

C. Schilling is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, C. Schilling has authored 10 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Genetics and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in C. Schilling's work include Menopause: Health Impacts and Treatments (9 papers), Estrogen and related hormone effects (4 papers) and Hormonal and reproductive studies (3 papers). C. Schilling is often cited by papers focused on Menopause: Health Impacts and Treatments (9 papers), Estrogen and related hormone effects (4 papers) and Hormonal and reproductive studies (3 papers). C. Schilling collaborates with scholars based in United States and Vietnam. C. Schilling's co-authors include Jodi A. Flaws, Howard A. Zacur, Lisa Gallicchio, Susan R. Miller, Dragana Tomic, Chuck Greenfeld, Patricia Langenberg, Janice K. Babus, Lynn M. Lewis and Kala Visvanathan and has published in prestigious journals such as Fertility and Sterility, Human Reproduction Update and Obstetrics and Gynecology.

In The Last Decade

C. Schilling

10 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. Schilling United States	8	201	135	129	81	76	10	395
Inger Øverlie Norway	8	182 0.9×	101 0.7×	119 0.9×	50 0.6×	80 1.1×	9	371
A. O. Mück Germany	10	182 0.9×	144 1.1×	72 0.6×	32 0.4×	46 0.6×	18	378
Joel Lippman United States	11	203 1.0×	111 0.8×	210 1.6×	81 1.0×	136 1.8×	16	534
Alexandra Purdue‐Smithe United States	14	152 0.8×	74 0.5×	216 1.7×	90 1.1×	151 2.0×	47	530
L Jaszmann Netherlands	6	313 1.6×	178 1.3×	107 0.8×	96 1.2×	132 1.7×	9	486
Kristina Sandin Sweden	3	236 1.2×	117 0.9×	44 0.3×	70 0.9×	72 0.9×	4	344
Ruiyi Tang China	13	144 0.7×	77 0.6×	132 1.0×	57 0.7×	131 1.7×	46	460
D. Tan Philippines	9	279 1.4×	187 1.4×	105 0.8×	126 1.6×	74 1.0×	10	498
Salvador Sarrá Chile	7	233 1.2×	89 0.7×	77 0.6×	81 1.0×	40 0.5×	11	331
Fiona Jane Australia	13	263 1.3×	121 0.9×	70 0.5×	54 0.7×	81 1.1×	15	428

Countries citing papers authored by C. Schilling

Since Specialization

Citations

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

Fields of papers citing papers by C. Schilling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Schilling

This figure shows the co-authorship network connecting the top 25 collaborators of C. Schilling. A scholar is included among the top collaborators of C. Schilling 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 C. Schilling. C. Schilling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Gallicchio, Lisa, C. Schilling, William A. Romani, et al.. (2008). Endogenous hormones, participant characteristics, and symptoms among midlife women. Maturitas. 59(2). 114–127. 19 indexed citations

2.

Gallicchio, Lisa, C. Schilling, Susan R. Miller, Howard A. Zacur, & Jodi A. Flaws. (2007). Correlates of depressive symptoms among women undergoing the menopausal transition. Journal of Psychosomatic Research. 63(3). 263–268. 62 indexed citations

3.

Schilling, C., Lisa Gallicchio, Susan R. Miller, et al.. (2007). Current alcohol use, hormone levels, and hot flashes in midlife women. Fertility and Sterility. 87(6). 1483–1486. 6 indexed citations

4.

Schilling, C., Lisa Gallicchio, Susan R. Miller, et al.. (2007). Relation of body mass and sex steroid hormone levels to hot flushes in a sample of mid-life women. Climacteric. 10(1). 27–37. 44 indexed citations

5.

Gallicchio, Lisa, C. Schilling, Dragana Tomic, et al.. (2007). Correlates of sexual functioning among mid-life women. Climacteric. 10(2). 132–142. 46 indexed citations

6.

Schilling, C., Lisa Gallicchio, Susan R. Miller, et al.. (2006). Genetic polymorphisms, hormone levels, and hot flashes in midlife women. Maturitas. 57(2). 120–131. 40 indexed citations

7.

Schilling, C., et al.. (2006). Ovarian follicle development and transgenic mouse models. Human Reproduction Update. 12(5). 537–555. 106 indexed citations

8.

Alexander, C., et al.. (2006). P-659. Fertility and Sterility. 86(3). S377–S377. 1 indexed citations

9.

Visvanathan, Kala, Lisa Gallicchio, C. Schilling, et al.. (2005). Cytochrome Gene Polymorphisms, Serum Estrogens, and Hot Flushes in Midlife Women. Obstetrics and Gynecology. 106(6). 1372–1381. 50 indexed citations

10.

Schilling, C., Lisa Gallicchio, Susan R. Miller, et al.. (2005). CURRENT ALCOHOL USE IS ASSOCIATED WITH A REDUCED RISK OF HOT FLASHES IN MIDLIFE WOMEN. Alcohol and Alcoholism. 40(6). 563–568. 21 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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