Ni Lan

739 citations
17 papers · 594 · h-index 12

Impact in

Papers in

Ni Lan

17 papers receiving 588 citations

Peers

Ni Lan
Comparison fields: 5 of 66
  • Behavioral Neuroscience 112
  • Pediatrics, Perinatology and Child Health 477
  • Obstetrics and Gynecology 115
  • Developmental Neuroscience 39
  • Endocrine and Autonomic Systems 50
Replace Tamara S. Bodnar with:
Tamara S. Bodnar Canada
Franziska Götz Germany
M.V. Gomes Brazil
M. Fadalti Italy
Kerstin Melchior Germany
Wilfred C. de Vega Canada
Mayu Ukai Japan
Liza Weinstein‐Fudim Israel
Elizabeth A. Lochry United States
Jessica Kimmel United States
Ni Lan relative to Tamara S. Bodnar Canada Tamara S. Bodnar's profile →
Citations per field
00.5×1.5×2.2×
Tamara S. Bodnar · 1×
Citations per year

Countries citing papers authored by Ni Lan

Since Specialization
Citations

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

Fields of papers citing papers by Ni Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2008260
2 200645
3 201744
4 201037
5 201534
6 201132
7 200930
8 200829
9 200921
10 201519
11 201317
12 201117
13
[The changes of opiate receptor binding in the rat brain under electroacupuncture tolerance conditions].
19874
14
[Risk factors research for overt/non-overt die in abdominal aortic aneurysm patients undergoing endovascular aneurysm repair].
20152
15 20161
16 20171
17 20161

About Ni Lan

Ni Lan is a scholar working on Pediatrics, Perinatology and Child Health, Behavioral Neuroscience, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology and Surgery, having authored 17 papers that have together received 594 indexed citations. Recurring topics across this work include Birth, Development, and Health (12 papers), Prenatal Substance Exposure Effects (10 papers), Stress Responses and Cortisol (5 papers), Gestational Diabetes Research and Management (2 papers), Neuroendocrine regulation and behavior (2 papers), Aortic aneurysm repair treatments (1 paper), Healthcare and Venom Research (1 paper) and Medical Research and Treatments (1 paper). The work is most often cited by research in Behavioral Neuroscience (112 citations), Pediatrics, Perinatology and Child Health (477 citations), Obstetrics and Gynecology (115 citations), Developmental Neuroscience (39 citations) and Endocrine and Autonomic Systems (50 citations). Ni Lan has collaborated with scholars based in Canada, China and Russia. Frequent co-authors include Joanne Weinberg, Joanna H. Śliwowska, Kim Hellemans, Linda Ellis, Victor Viau, Charlis Raineki, Parker J. Holman, Samantha L. Baglot, Tamara S. Bodnar and A. Wayne Vogl. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Brain Behavior and Immunity, Psychoneuroendocrinology, Journal of Neuroendocrinology and Neuroscience.

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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