Harold L. Schwartz

8.6k citations
104 papers · 7.1k indexed · 1 hit paper · h-index 47
Topics
Thyroid Disorders and Treatments (54 papers)Growth Hormone and Insulin-like Growth Factors (37 papers)Cancer, Hypoxia, and Metabolism (14 papers)

In The Last Decade

Harold L. Schwartz

104 papers receiving 6.6k citations

Hit Papers

Tissue Differences in the Concentration of Triiodothyroni...19742026199120081974100200300400

Peers

Harold L. Schwartz
Comparison fields: 5 of 129
  • Endocrinology, Diabetes and Metabolism 4.6k
  • Molecular Biology 2.5k
  • Genetics 1.3k
  • Physiology 1.1k
  • Cancer Research 527
Replace Jack H. Oppenheimer with:
Jack H. Oppenheimer United States
J.E. Dumont Belgium
Marc Lombès France
Paul M. Yen United States
Zygmunt S. Krozowski Australia
Balázs Gereben Hungary
P R Larsen United States
Donald L. St. Germain United States
Pierre Corvol France
Cary N. Mariash United States
Harold L. Schwartz relative to Jack H. Oppenheimer United States Jack H. Oppenheimer's profile →
Citations per field
00.5×1.5×
Jack H. Oppenheimer · 1×
Citations per year

Countries citing papers authored by Harold L. Schwartz

Since Specialization
Citations

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

Fields of papers citing papers by Harold L. Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harold L. Schwartz. 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 Harold L. Schwartz. The network helps show where Harold L. Schwartz may publish in the future.

Co-authorship network of co-authors of Harold L. Schwartz

This figure shows the co-authorship network connecting the top 25 collaborators of Harold L. Schwartz. A scholar is included among the top collaborators of Harold L. Schwartz 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 Harold L. Schwartz. Harold L. Schwartz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 29
2 39
3 22
4 47
5 10
6 51
7 20
8 232
9 131
10 60
11 10
12 22
13 17
14 5
15 58
16 60
17 38
18 137
19 64
20 3

About Harold L. Schwartz

Harold L. Schwartz is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Cancer Research, having authored 104 papers that have together received 7.1k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (54 papers), Growth Hormone and Insulin-like Growth Factors (37 papers) and Cancer, Hypoxia, and Metabolism (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.6k citations), Endocrine and Autonomic Systems (398 citations) and Genetics (1.3k citations). Harold L. Schwartz has collaborated with scholars based in United States, United Kingdom and Tanzania. Frequent co-authors include Jack H. Oppenheimer, Martin I. Surks, Cary N. Mariash, Kevin A. Strait, J H Oppenheimer, Diona R. Koerner, William B. Kinlaw, Howard C. Towle, Ana Pérez‐Castillo and Norman C.W. Wong. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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