MAX HUTZEL

23 papers receiving 615 citations

Peers

MAX HUTZEL
Comparison fields: 5 of 64
  • Immunology 382
  • Immunology and Allergy 47
  • Anesthesiology and Pain Medicine 65
  • Pharmacology 112
  • Gastroenterology 51
Replace K Takagi with:
K Takagi Japan
Barbara J. Bowman United States
Gojko Muacevic Germany
Yuko Noda Japan
Jacqueline Bonnet France
Antonio Ciccolo Italy
Yiqun Hui United States
Katsuo Ikezawa Japan
Toshikazu Yoshikawa Japan
Jacques Randon France
MAX HUTZEL relative to K Takagi Japan K Takagi's profile →
Citations per field
00.5×2×4×6×8.9×
K Takagi · 1×
Citations per year

Countries citing papers authored by MAX HUTZEL

Since Specialization
Citations

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

Fields of papers citing papers by MAX HUTZEL

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside MAX HUTZEL, 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 MAX HUTZEL Line = papers co-authored together MAX HUTZEL links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972218
2 197299
3 197078
4 197151
5 197438
6 196737
7 197033
8 197233
9 196822
10 196921
11 197016
12 196715
13 196815
14 19708
15 19677
16
[On protease inhibitors. IV. Isolation of protease inhibitors with the aid of water insoluble enzyme resins].
19675
17 19705
18
[On the secretory activity of specific trypsin inhibitors and kallikreinogen in the canine and human pancreas].
19674
19
[On protease inhibitors, VI. On the identity of the protease inhibitor from rat liver with the trypsin-kallikren-inhibitor (Trasylol].
19673
20
[Regulation of urinary kallikrein excretion by the pituitary and adrenal glands].
19622

About MAX HUTZEL

MAX HUTZEL is a scholar working on Immunology, Cancer Research, Cellular and Molecular Neuroscience, Genetics and Surgery, having authored 24 papers that have together received 715 indexed citations. Recurring topics across this work include Mast cells and histamine (12 papers), Protease and Inhibitor Mechanisms (5 papers), Pancreatitis Pathology and Treatment (3 papers), Pancreatic function and diabetes (3 papers), Neuropeptides and Animal Physiology (3 papers), Salivary Gland Disorders and Functions (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Analytical Methods in Pharmaceuticals (1 paper). The work is most often cited by research in Immunology (382 citations), Immunology and Allergy (47 citations), Anesthesiology and Pain Medicine (65 citations), Pharmacology (112 citations) and Gastroenterology (51 citations). MAX HUTZEL has collaborated with scholars based in Germany. Frequent co-authors include Hannes Barth, Wilfried Lorenz, Α. Doenicke, Eugen Werle, W Lorenz, H. J. Reimann, Hans Fritz, ANTON SCHMAL, K. Meßmer and Michael S. F. Wiedemann. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, European Journal of Pharmacology, Journal of Molecular Medicine, Digestion and Inflammation Research.

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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