H. Honest

928 total citations
9 papers, 648 citations indexed

About

H. Honest is a scholar working on Epidemiology, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, H. Honest has authored 9 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 4 papers in Pediatrics, Perinatology and Child Health and 4 papers in Obstetrics and Gynecology. Recurrent topics in H. Honest's work include Preterm Birth and Chorioamnionitis (5 papers), Pregnancy-related medical research (3 papers) and Assisted Reproductive Technology and Twin Pregnancy (3 papers). H. Honest is often cited by papers focused on Preterm Birth and Chorioamnionitis (5 papers), Pregnancy-related medical research (3 papers) and Assisted Reproductive Technology and Twin Pregnancy (3 papers). H. Honest collaborates with scholars based in United Kingdom and Switzerland. H. Honest's co-authors include Khalid S. Khan, Jos Kleijnen, L. M. Bachmann, Arri Coomarasamy, Tracy Roberts, Sue Jowett, Gill Norman, P Barton, A Tsourapas and Rajeshwari Sundaram and has published in prestigious journals such as Health Technology Assessment, Ultrasound in Obstetrics and Gynecology and Archives of Disease in Childhood Fetal & Neonatal.

In The Last Decade

H. Honest

9 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H. Honest United Kingdom	8	542	370	254	162	158	9	648
Anju Suhag United States	13	326 0.6×	325 0.9×	280 1.1×	96 0.6×	184 1.2×	29	593
Mario Carstens United States	5	344 0.6×	262 0.7×	348 1.4×	110 0.7×	261 1.7×	10	595
J.Peter VanDorsten United States	7	258 0.5×	195 0.5×	249 1.0×	75 0.5×	140 0.9×	8	490
Angharad Care United Kingdom	10	243 0.4×	153 0.4×	151 0.6×	85 0.5×	121 0.8×	28	388
Eduardo Da Fonseca Brazil	11	1.1k 2.0×	964 2.6×	505 2.0×	182 1.1×	319 2.0×	17	1.3k
James F. McCaul United States	10	133 0.2×	164 0.4×	244 1.0×	73 0.5×	184 1.2×	12	435
Robert Atlas United States	13	467 0.9×	511 1.4×	474 1.9×	36 0.2×	279 1.8×	39	788
Jennifer Jolley United States	11	147 0.3×	149 0.4×	227 0.9×	52 0.3×	219 1.4×	21	471
Helen How United States	12	141 0.3×	132 0.4×	267 1.1×	77 0.5×	222 1.4×	21	467
Kimberly Maurel United States	9	229 0.4×	206 0.6×	160 0.6×	139 0.9×	369 2.3×	23	570

Countries citing papers authored by H. Honest

Since Specialization

Citations

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

Fields of papers citing papers by H. Honest

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Honest

This figure shows the co-authorship network connecting the top 25 collaborators of H. Honest. A scholar is included among the top collaborators of H. Honest 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 H. Honest. H. Honest 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:

9 of 9 papers shown

1.

Chan, Juliana C.N. & H. Honest. (2010). Implementing the ten-group-classification-system of caesarean section at Good Hope Hospital (UK) FOR 2008. Archives of Disease in Childhood Fetal & Neonatal. 95(Suppl 1). Fa72.4–Fa73. 1 indexed citations

2.

Honest, H., Gill Norman, A Tsourapas, et al.. (2009). Screening to prevent spontaneous preterm birth: systematic reviews of accuracy and effectiveness literature with economic modelling. Health Technology Assessment. 13(43). 1–627. 161 indexed citations

3.

Singh, Kavita, et al.. (2006). Accuracy of magnetic resonance imaging of inguinofemoral lymph nodes in vulval cancer. International Journal of Gynecological Cancer. 16(3). 1179–1183. 25 indexed citations

4.

Singh, Kavita, et al.. (2006). Accuracy of magnetic resonance imaging of inguinofemoral lymph nodes in vulval cancer. International Journal of Gynecological Cancer. 16(3). 1179–1183. 10 indexed citations

5.

Honest, H., et al.. (2004). The accuracy of risk scores in predicting preterm birth—a systematic review. Journal of Obstetrics and Gynaecology. 24(4). 343–359. 69 indexed citations

6.

Honest, H., et al.. (2004). Accuracy of absence of fetal breathing movements in predicting preterm birth: a systematic review. Ultrasound in Obstetrics and Gynecology. 24(1). 94–100. 9 indexed citations

7.

Honest, H., et al.. (2003). Accuracy of cervical transvaginal sonography in predicting preterm birth: a systematic review. Ultrasound in Obstetrics and Gynecology. 22(3). 305–322. 138 indexed citations

8.

Honest, H., et al.. (2003). Accuracy of cervico-vaginal fetal fibronectin test in predicting the risk of spontaneous preterm birth—a systematic review. Journal of Obstetrics and Gynaecology. 23(sup1). S57–S57. 11 indexed citations

9.

Honest, H., et al.. (2002). Accuracy of cervicovaginal fetal fibronectin test in predicting risk of spontaneous preterm birth: systematic review. BMJ. 325(7359). 301–301. 224 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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