Richard A. Jungmann

2.6k citations
55 papers · 2.2k indexed · 1 hit paper · h-index 22
Topics
Reproductive Biology and Fertility (10 papers)Protein Kinase Regulation and GTPase Signaling (10 papers)Biochemical and Molecular Research (6 papers)
Partner nations
United StatesSwitzerland

In The Last Decade

Richard A. Jungmann

54 papers receiving 2.0k citations

Hit Papers

c-Myc transactivation of LDH-A: Implications for tumor me...19972026200620161997250500750

Peers

Richard A. Jungmann
Comparison fields: 5 of 98
  • Molecular Biology 1.6k
  • Cancer Research 668
  • Oncology 242
  • Genetics 208
  • Cell Biology 201
Replace Walter Kittstein with:
Walter Kittstein Germany
Takeshi Fujita Japan
G R Vandenbark United States
Mir F. Ahmad United States
Nancy A. Sharkey United States
Charles W. Garner United States
Sandra E. Wilkinson United Kingdom
Renza Vento Italy
W. Keith Miskimins United States
Stephen R. James United Kingdom
Richard A. Jungmann relative to Walter Kittstein Germany Walter Kittstein's profile →
Citations per field
00.5×2.6×
Walter Kittstein · 1×
Citations per year

Countries citing papers authored by Richard A. Jungmann

Since Specialization
Citations

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

Fields of papers citing papers by Richard A. Jungmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard A. Jungmann. 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 Richard A. Jungmann. The network helps show where Richard A. Jungmann may publish in the future.

Co-authorship network of co-authors of Richard A. Jungmann

This figure shows the co-authorship network connecting the top 25 collaborators of Richard A. Jungmann. A scholar is included among the top collaborators of Richard A. Jungmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard A. Jungmann. Richard A. Jungmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 16
2 18
3 21
4 24
5 19
6 31
7 21
8 11
9 11
10 10
11 20
12 28
13 9
14 26
15 10
16 84
17 15
18 13
19 14
20 19

About Richard A. Jungmann

Richard A. Jungmann is a scholar working on Reproductive Medicine, Physiology and Endocrinology, Diabetes and Metabolism, having authored 55 papers that have together received 2.2k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (10 papers), Protein Kinase Regulation and GTPase Signaling (10 papers) and Biochemical and Molecular Research (6 papers). The work is most often cited by research in Cancer Research (668 citations), Molecular Biology (1.6k citations) and Cell Biology (201 citations). Richard A. Jungmann has collaborated with scholars based in United States and Switzerland. Frequent co-authors include John S. Schweppe, Brian C. Lewis, Hyunsuk Shim, Riccardo Dalla‐Favera, Christine Dolde, Chi V. Dang, Evangelia G. Kranias, Peter Hiestand, Mary Hunzicker-Dunn and Diane H. Russell. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids 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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