B. Mehlis

32 papers receiving 424 citations

Peers

B. Mehlis
Comparison fields: 5 of 80
  • Cellular and Molecular Neuroscience 131
  • Process Chemistry and Technology 20
  • Reproductive Medicine 39
  • Pharmaceutical Science 28
  • Biomaterials 59
Replace Chhuttan L. Meena with:
Chhuttan L. Meena India
P. M. Hardy United Kingdom
Séverine Denoyelle France
Patrick Hubert France
Gail K. Mattson United States
Hidetomo Yokoo Japan
Karl Michaelis Germany
M. N. Moorjani United States
Jacques H. Julliard France
Osamu Hosoya Japan
B. Mehlis relative to Chhuttan L. Meena India Chhuttan L. Meena's profile →
Citations per field
00.5×
Chhuttan L. Meena · 1×
Citations per year

Countries citing papers authored by B. Mehlis

Since Specialization
Citations

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

Fields of papers citing papers by B. Mehlis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197445
2 199043
3 199042
4 199737
5 198034
6 199332
7 198530
8 199726
9 198423
10 199421
11 197916
12 197515
13 199115
14 198214
15 197212
16 199510
17 19989
18 19889
19 19887
20 19957

About B. Mehlis

B. Mehlis is a scholar working on Molecular Biology, Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Spectroscopy and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 485 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (12 papers), Hypothalamic control of reproductive hormones (8 papers), Biochemical and Structural Characterization (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Analytical Chemistry and Chromatography (5 papers), Neuropeptides and Animal Physiology (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (131 citations), Process Chemistry and Technology (20 citations), Reproductive Medicine (39 citations), Pharmaceutical Science (28 citations) and Biomaterials (59 citations). B. Mehlis has collaborated with scholars based in Germany, United States and Norway. Frequent co-authors include Michael Bienert, Hartmut Niedrich, Klaus Fechner, P Oehme, J. Bergmann, H. Berger, Dietrich Zirwer, Klaus Gast, G. Rafler and Manfred Becker. Their work appears in journals such as Peptides, Biochimica et Biophysica Acta (BBA) - General Subjects, Cellular and Molecular Life Sciences, Journal of Chromatography A and Biochemical and Biophysical Research Communications.

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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