Michael Knecht

2.8k citations
58 papers · 2.3k indexed · h-index 30

Michael Knecht

57 papers receiving 2.3k citations

Peers

Michael Knecht
Comparison fields: 5 of 100
  • Sensory Systems 480
  • Reproductive Medicine 708
  • Public Health, Environmental and Occupational Health 885
  • Agronomy and Crop Science 271
  • Endocrinology, Diabetes and Metabolism 414
Replace Yiu Wa Chung with:
Yiu Wa Chung Hong Kong
Jason Perret Belgium
Alice Luddi Italy
I‐Shing Yu Taiwan
Mónica Beatriz Frungieri Argentina
Kumiko Hosokawa Japan
Hoon Taek Lee South Korea
Cynthia Klein United States
Joel Lawitts United States
Lucia Monaco Italy
Michael Knecht relative to Yiu Wa Chung Hong Kong Yiu Wa Chung's profile →
Citations per field
00.5×5.8×
Yiu Wa Chung · 1×
Citations per year

Countries citing papers authored by Michael Knecht

Since Specialization
Citations

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

Fields of papers citing papers by Michael Knecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20106
2 200629
3 20059
4 200439
5 200317
6 200250
7 200130
8 2000226
9 199696
10 199415
11 199451
12 198914
13 1988111
14 19889
15 1988100
16 19858
17 198322
18 198265
19 1981105
20 198150

About Michael Knecht

Michael Knecht is a scholar working on Reproductive Medicine, Sensory Systems and Public Health, Environmental and Occupational Health, having authored 58 papers that have together received 2.3k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (21 papers), Ovarian function and disorders (15 papers), Estrogen and related hormone effects (11 papers), Olfactory and Sensory Function Studies (11 papers), Advanced Chemical Sensor Technologies (7 papers), Hypothalamic control of reproductive hormones (7 papers), Biochemical Analysis and Sensing Techniques (7 papers) and Reproductive System and Pregnancy (6 papers). The work is most often cited by research in Sensory Systems (480 citations), Reproductive Medicine (708 citations) and Public Health, Environmental and Occupational Health (885 citations). Michael Knecht has collaborated with scholars based in United States, Germany and Cameroon. Frequent co-authors include Kevin Catt, Pei Feng, Thomas Hummel, Abraham Amsterdam, TAPIO RANTA, Gerd Kobal, James E. Schwob, Donald A. Leopold, Albert J. Baukal and Michael Katz. Their work appears in journals such as Endocrinology, Journal of Biological Chemistry, Molecular and Cellular Endocrinology, Biochemical and Biophysical Research Communications and The Laryngoscope.

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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