H. Immer

620 citations
20 papers · 526 · h-index 13

Impact in

Papers in

H. Immer

20 papers receiving 429 citations

Peers

H. Immer
Comparison fields: 5 of 59
  • Endocrinology, Diabetes and Metabolism 152
  • Organic Chemistry 188
  • Endocrine and Autonomic Systems 30
  • Reproductive Medicine 33
  • Molecular Biology 265
Replace John Marvin May with:
John Marvin May United States
Philip J. Rybczynski United States
G. D. Laubach United States
James S. Frazee United States
Dominic E. A. Brittain United States
Ta Kung Chen United States
Fabio Bertozzi Italy
M. Brügger Switzerland
Jasminka Dragovic United States
Susan J. Bergstrand United States
H. Immer relative to John Marvin May United States John Marvin May's profile →
Citations per field
00.5×1.5×2.0×
John Marvin May · 1×
Citations per year

Countries citing papers authored by H. Immer

Since Specialization
Citations

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

Fields of papers citing papers by H. Immer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1974135
2 196257
3 197955
4 197452
5 196134
6 196727
7 197425
8 196223
9 196016
10 197316
11 197616
12 196814
13 196613
14 19659
15 19739
16 19749
17 19687
18 19703
19 19713
20 19843

About H. Immer

H. Immer is a scholar working on Organic Chemistry, Endocrinology, Diabetes and Metabolism, Molecular Biology, Cellular and Molecular Neuroscience and Genetics, having authored 20 papers that have together received 526 indexed citations. Recurring topics across this work include Steroid Chemistry and Biochemistry (5 papers), Chemical Synthesis and Analysis (4 papers), Synthetic Organic Chemistry Methods (3 papers), Estrogen and related hormone effects (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Cancer Treatment and Pharmacology (2 papers), Organic Chemistry Cycloaddition Reactions (2 papers) and Pituitary Gland Disorders and Treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (152 citations), Organic Chemistry (188 citations), Endocrine and Autonomic Systems (30 citations), Reproductive Medicine (33 citations) and Molecular Biology (265 citations). H. Immer has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Kazimir Sestanj, Manfred Götz, Kurt Schaffner, Oskar Jeger, M. LJ. MIHAILOVIC, D. Arigoni, Esther J. Coy, Fernand Labrie, Alain Bélanger and Andrew Victor Schally. Their work appears in journals such as Helvetica Chimica Acta, Cellular and Molecular Life Sciences, Canadian Journal of Chemistry, The Journal of Organic Chemistry and Molecular and Cellular 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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