G D Aurbach

28 papers receiving 2.2k citations

G D Aurbach's Hit Papers

Use of Polyethylene Glycol to Separate Free and Antibody-Bound Peptide Hormones in Radioimmunoassays† 1971 · 1.2k citations
1.2k0+18+36Years since publication4008001.2k

Peers

G D Aurbach
Comparison fields: 5 of 110
  • Nephrology 741
  • Endocrinology, Diabetes and Metabolism 535
  • Endocrine and Autonomic Systems 102
  • Physiology 390
  • Oncology 360
Replace Ralph Rabkin with:
Ralph Rabkin United States
John N. Loeb United States
S Tarui Japan
Seiki Ito Japan
K. Seyer‐Hansen Denmark
A. T. Veress Canada
Sandor Falk United States
Yeong‐Hau H. Lien United States
Nicholas Obermüller Germany
M Déchaux France
G D Aurbach relative to Ralph Rabkin United States Ralph Rabkin's profile →
Citations per field
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Ralph Rabkin · 1×
Citations per year

Countries citing papers authored by G D Aurbach

Since Specialization
Citations

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

Fields of papers citing papers by G D Aurbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Use of Polyethylene Glycol to Separate Free and Antibody-Bound Peptide Hormones in Radioimmunoassays†
Hit paper breakdown →
19711209
2 1968200
3
Primary hyperparathyroidism: clinical and biochemical features.
1974198
4 1976187
5 1967180
6 198791
7 198377
8 197267
9 198746
10 196736
11 198731
12 198030
13 196828
14 197525
15 198223
16 197620
17 198118
18 198313
19 197410
20 198510

About G D Aurbach

G D Aurbach is a scholar working on Nephrology, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Surgery, having authored 28 papers that have together received 2.5k indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (16 papers), Medical Imaging and Pathology Studies (7 papers), Genetic Syndromes and Imprinting (5 papers), Thyroid and Parathyroid Surgery (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Protein purification and stability (3 papers), Chemical and Physical Properties in Aqueous Solutions (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Nephrology (741 citations), Endocrinology, Diabetes and Metabolism (535 citations), Endocrine and Autonomic Systems (102 citations), Physiology (390 citations) and Oncology (360 citations). G D Aurbach has collaborated with scholars based in United States. Frequent co-authors include Bernard Desbuquois, John T. Potts, Louis M. Sherwood, Edward M. Brown, S. Hurwitz, D. A. Heath, J P Bilezikian, Lawrence E. Mallette, J. L. H. O’Riordan and C.F. Ramberg. Their work appears in journals such as Radiology, Endocrinology, The Journal of Clinical Endocrinology & Metabolism, American Journal of Roentgenology and Molecular Pharmacology.

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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