Robert Lam

46 papers receiving 1.3k citations

Peers

Robert Lam
Comparison fields: 5 of 109
  • Endocrine and Autonomic Systems 290
  • Endocrinology, Diabetes and Metabolism 528
  • Pediatrics, Perinatology and Child Health 438
  • Obstetrics and Gynecology 121
  • Pulmonary and Respiratory Medicine 469
Replace Tibor Ertl with:
Tibor Ertl Hungary
Solomon A. Kaplan United States
Jacques A. Dürr United States
M. Ziegler Germany
D. A. Fisher United States
J. Jones United Kingdom
Nobuo Matsuura Japan
K. Hall Sweden
John L. Kirkland United States
G Baumann United States
Robert Lam relative to Tibor Ertl Hungary Tibor Ertl's profile →
Citations per field
00.5×3.7×
Tibor Ertl · 1×
Citations per year

Countries citing papers authored by Robert Lam

Since Specialization
Citations

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

Fields of papers citing papers by Robert Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An improved radioimmunoassay of triiodothyronine in serum: its application to clinical and physiological studies.
1972271
2 1984108
3 198099
4 197496
5 197758
6 197350
7 197748
8 198547
9 198743
10 198442
11 199042
12 197241
13 198738
14 199036
15 198136
16 200633
17 199032
18 197529
19 198827
20 197926

About Robert Lam

Robert Lam is a scholar working on Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (23 papers), Neuroscience of respiration and sleep (14 papers), Thyroid Disorders and Treatments (11 papers), Birth, Development, and Health (7 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Heart Failure Treatment and Management (4 papers), Congenital Heart Disease Studies (3 papers) and Respiratory Support and Mechanisms (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (290 citations), Endocrinology, Diabetes and Metabolism (528 citations), Pediatrics, Perinatology and Child Health (438 citations), Obstetrics and Gynecology (121 citations) and Pulmonary and Respiratory Medicine (469 citations). Robert Lam has collaborated with scholars based in United States, Canada and Hong Kong. Frequent co-authors include D A Fisher, Delbert A. Fisher, INDER J. CHOPRA, Calvin J. Hobel, James F. Padbury, Allen Erenberg, Alan H. Jobe, Harris C. Jacobs, T. H. ODDIE and M. Ikegami. Their work appears in journals such as Pediatric Research, American Journal of Obstetrics and Gynecology, American Journal of Physiology-Endocrinology and Metabolism, The Journal of Pediatrics and Endocrinology.

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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