N.S. Assali

136 papers receiving 2.5k citations

Peers

N.S. Assali
Comparison fields: 5 of 106
  • Obstetrics and Gynecology 867
  • Pediatrics, Perinatology and Child Health 988
  • Endocrine and Autonomic Systems 331
  • Pulmonary and Respiratory Medicine 827
  • Cardiology and Cardiovascular Medicine 568
Replace Joan C. Mott with:
Joan C. Mott United Kingdom
J Robillard United States
John Lind Sweden
G. Gennser Sweden
Louis L.H. Peeters Netherlands
David Merrill United States
J P Miell United Kingdom
Hans Versmold Germany
Tivadar Tulassay Hungary
E. M. Symonds United Kingdom
N.S. Assali relative to Joan C. Mott United Kingdom Joan C. Mott's profile →
Citations per field
00.5×3.5×
Joan C. Mott · 1×
Citations per year

Countries citing papers authored by N.S. Assali

Since Specialization
Citations

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

Fields of papers citing papers by N.S. Assali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.S. Assali. 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 N.S. Assali. The network helps show where N.S. Assali may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1961179
2 1960137
3 195393
4 197791
5 195886
6 196885
7
Renal function in human pregnancy. V. Effects of oxytocin on renal hemodynamics and water and electrolyte excretion.
196173
8 196970
9 197761
10 196252
11 197450
12 196550
13 195646
14 195343
15 196141
16 196341
17 197739
18 196737
19 195436
20 195236

About N.S. Assali

N.S. Assali is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Endocrine and Autonomic Systems and Surgery, having authored 137 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (37 papers), Neuroscience of respiration and sleep (30 papers), Neonatal Respiratory Health Research (27 papers), Birth, Development, and Health (23 papers), Renal function and acid-base balance (14 papers), Electrolyte and hormonal disorders (13 papers), Congenital Diaphragmatic Hernia Studies (8 papers) and Reproductive Physiology in Livestock (8 papers). The work is most often cited by research in Obstetrics and Gynecology (867 citations), Pediatrics, Perinatology and Child Health (988 citations), Endocrine and Autonomic Systems (331 citations), Pulmonary and Respiratory Medicine (827 citations) and Cardiology and Cardiovascular Medicine (568 citations). N.S. Assali has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include C.R. Brinkman, Raja W. Abdul‐Karim, B. Nuwayhid, T.H. Kirschbaum, P.V. Dilts, John A. Morris, L. W. Holm, Roy Suyemoto, L. Rauramo and Tuomas Peltonen. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Experimental Biology and Medicine, Journal of Applied Physiology, Circulation Research and American Journal of Physiology-Legacy Content.

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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