D. Sherman

30 papers receiving 717 citations

Peers

D. Sherman
Comparison fields: 5 of 85
  • Obstetrics and Gynecology 239
  • Pediatrics, Perinatology and Child Health 240
  • Psychiatry and Mental health 100
  • Epidemiology 185
  • Endocrine and Autonomic Systems 35
Replace Shiu F. Wong with:
Shiu F. Wong Australia
Harrie N. Lafeber Netherlands
Peter Blundell Canada
Israel F. Abroms United States
A.A. Okolo Nigeria
Murdina M. Desmond United States
W. H. Kitchen Australia
İpek Akman Türkiye
Charlotte Casper France
S.A. Taha Saudi Arabia
D. Sherman relative to Shiu F. Wong Australia Shiu F. Wong's profile →
Citations per field
00.5×3.9×
Shiu F. Wong · 1×
Citations per year

Countries citing papers authored by D. Sherman

Since Specialization
Citations

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

Fields of papers citing papers by D. Sherman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998107
2 200871
3 199957
4 199055
5 200149
6 200044
7 200938
8 199735
9 200134
10 199134
11 198827
12 200124
13 200122
14
Maternal dehydration: impact on ovine amniotic fluid volume and composition.
199022
15 198022
16 198821
17 199014
18 198214
19 199112
20 20069

About D. Sherman

D. Sherman is a scholar working on Obstetrics and Gynecology, Pulmonary and Respiratory Medicine, Surgery, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 30 papers that have together received 762 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (8 papers), Neonatal Respiratory Health Research (8 papers), Congenital Diaphragmatic Hernia Studies (4 papers), Electrolyte and hormonal disorders (3 papers), Dementia and Cognitive Impairment Research (3 papers), Reproductive Biology and Fertility (2 papers), Heart Failure Treatment and Management (2 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Obstetrics and Gynecology (239 citations), Pediatrics, Perinatology and Child Health (240 citations), Psychiatry and Mental health (100 citations), Epidemiology (185 citations) and Endocrine and Autonomic Systems (35 citations). D. Sherman has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include M. Gore Ervin, Li Day, Kyle B. Boone, M. G. Ross, Alison Lee, Bruce L. Miller, Michael G. Ross, Nancy Berman, Galia Rahav and Joseph Pardo. Their work appears in journals such as American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Obstetrics and Gynecology, Journal of the International Neuropsychological Society, International Urogynecology Journal and European Journal of Anaesthesiology.

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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