G Baumann

49 papers receiving 1.8k citations

Peers

G Baumann
Comparison fields: 5 of 106
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Reproductive Medicine 389
  • Endocrine and Autonomic Systems 127
  • Cardiology and Cardiovascular Medicine 256
  • Genetics 260
Replace A Pertzelan with:
A Pertzelan Israel
Catherine Dacou‐Voutetakis Greece
George Schneider United States
Solomon A. Kaplan United States
W. F. Blum Germany
Jesús Pozo Spain
Yael Segev Israel
P M Martha United States
Lars Hagenäs Sweden
Markus Bettendorf Germany
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Citations per year

Countries citing papers authored by G Baumann

Since Specialization
Citations

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

Fields of papers citing papers by G Baumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996353
2 1976139
3 2001105
4 200094
5 199783
6 199679
7 199371
8 199467
9 199466
10 199257
11 199656
12
Oxytocin determination by radioimmunoassay in cattle. II. Effect of mating and stimulation of the genital tract in bulls, cows and heifers.
198256
13 199441
14 197639
15 199239
16 201134
17 199333
18 199433
19 200231
20
Characteristics of the somatotropic axis in insulin dependent diabetes mellitus.
199525

About G Baumann

G Baumann is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Genetics and Cancer Research, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (36 papers), Diet and metabolism studies (9 papers), Cancer, Hypoxia, and Metabolism (8 papers), Metabolism, Diabetes, and Cancer (5 papers), Birth, Development, and Health (5 papers), Lipid metabolism and disorders (5 papers), Pancreatic function and diabetes (4 papers) and Digestive system and related health (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Reproductive Medicine (389 citations), Endocrine and Autonomic Systems (127 citations), Cardiology and Cardiovascular Medicine (256 citations) and Genetics (260 citations). G Baumann has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Hiralal Maheshwari, Moisés Mercado, Joseph F. Dingman, Gail A. Laughlin, Arlene J. Morales, S. S. C. YEN, Tarja L. Bützow, MELISSA A. SHAW, Norma Dávila and Paula P. Veldhuis. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Acta Paediatrica, Diabetes, Journal of Clinical Investigation and Experimental Biology and 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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