Pat Haug

1.1k total citations
29 papers, 859 citations indexed

About

Pat Haug is a scholar working on Mechanics of Materials, Cellular and Molecular Neuroscience and Geology. According to data from OpenAlex, Pat Haug has authored 29 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanics of Materials, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Geology. Recurrent topics in Pat Haug's work include Hydrocarbon exploration and reservoir analysis (12 papers), Neuroscience and Neuropharmacology Research (6 papers) and Petroleum Processing and Analysis (6 papers). Pat Haug is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (12 papers), Neuroscience and Neuropharmacology Research (6 papers) and Petroleum Processing and Analysis (6 papers). Pat Haug collaborates with scholars based in United States, Germany and Italy. Pat Haug's co-authors include Jin-Soo Kim, Alma L. Burlingame, Cordula Nitsch, Heinrich K. Schnoes, R. Häßler, Ki Chung Paik, Melvin Calvin, W. D. Closson, Dietrich H. Welte and Douglas Waples and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Pat Haug

28 papers receiving 803 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pat Haug United States 15 391 265 213 144 94 29 859
William W. Youngblood United States 23 775 2.0× 706 2.7× 288 1.4× 145 1.0× 159 1.7× 39 2.6k
Brian G. Rohrback United States 7 286 0.7× 56 0.2× 219 1.0× 116 0.8× 124 1.3× 10 930
Xinshe Liu China 22 163 0.4× 358 1.4× 526 2.5× 32 0.2× 54 0.6× 88 1.6k
Akira Nishimura Japan 22 226 0.6× 417 1.6× 270 1.3× 11 0.1× 78 0.8× 65 2.1k
Brian M. Kile United States 12 443 1.1× 239 0.9× 22 0.1× 40 0.3× 105 1.1× 14 784
Jerry L. Clayton United States 12 251 0.6× 77 0.3× 474 2.2× 107 0.7× 23 0.2× 21 904
Nancy W. Withers United States 20 120 0.3× 364 1.4× 95 0.4× 38 0.3× 38 0.4× 26 979
Bary W. Wilson United States 25 114 0.3× 103 0.4× 25 0.1× 88 0.6× 105 1.1× 52 1.7k
F. Grass Austria 15 111 0.3× 95 0.4× 18 0.1× 88 0.6× 21 0.2× 87 948
E. F. Adolph United States 17 92 0.2× 125 0.5× 51 0.2× 24 0.2× 45 0.5× 46 1.0k

Countries citing papers authored by Pat Haug

Since Specialization
Citations

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

Fields of papers citing papers by Pat Haug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pat Haug

This figure shows the co-authorship network connecting the top 25 collaborators of Pat Haug. A scholar is included among the top collaborators of Pat Haug 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 Pat Haug. Pat Haug 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
1.
Rensburg, Susan J. van, Maritha J. Kotze, Dinie Hon, et al.. (2006). Iron and the folate-vitamin B12-methylation pathway in multiple sclerosis. Metabolic Brain Disease. 21(2-3). 117–133. 42 indexed citations
2.
Hahn, Jürgen & Pat Haug. (1986). Traces of archaebacteria in ancient sediments. Systematic and Applied Microbiology. 7(2-3). 178–183. 20 indexed citations
3.
Haug, Pat, Cordula Nitsch, A. Wägner, & R. Häßler. (1984). Effect of cortex ablation on amino acid neurotransmitters in the pallidum of baboons.. PubMed. 40. 99–105. 1 indexed citations
4.
5.
Haug, Pat & Cordula Nitsch. (1982). Increase in taurine content before onset of seizures induced by a glutamate decarboxylase inhibitor. Experimental Brain Research. 48(3). 463–6. 7 indexed citations
6.
Haug, Pat & David J. Curry. (1974). Isoprenoids in a Costa Rican seep oil. Geochimica et Cosmochimica Acta. 38(4). 601–610. 18 indexed citations
7.
Vandenheuvel, W.J.A., et al.. (1972). Mass spectrometry of trimethylsilyl derivatives of disubstituted pyridines, quinolines, pyrimidines, and pteridines. Journal of Heterocyclic Chemistry. 9(2). 451–455. 5 indexed citations
8.
Haug, Pat, et al.. (1972). Massenspektroskopische Fragmentierung der Trimethylsilyl-Derivate von 6-Sulfons�ure- und Phosphors�ure-substituierten Pteridinen. Analytical and Bioanalytical Chemistry. 262(2). 110–112. 5 indexed citations
9.
Haug, Pat, et al.. (1971). Fatty Acids and Hydrocarbons in Surtsey Sediment. Nature. 234(5330). 447–450. 9 indexed citations
10.
Simoneit, Bernd R.T., Heinrich K. Schnoes, Pat Haug, & Alma L. Burlingame. (1971). High-resolution mass spectrometry of nitrogenous compounds of the Colorado Green River Formation oil shale. Chemical Geology. 7(2). 123–141. 27 indexed citations
11.
Haug, Pat, et al.. (1971). Sterols in five coastal spermatophytes. Lipids. 6(9). 687–691. 18 indexed citations
12.
Simoneit, Bernd R.T., Heinrich K. Schnoes, Pat Haug, & Alma L. Burlingame. (1970). Nitrogenous Compounds of the Colorado Green River Formation Oil Shale: A Preliminary Analysis by Mass Spectrometry. Nature. 226(5240). 75–76. 11 indexed citations
13.
Haug, Pat. (1970). Mass spectral fragmentation of trimethylsilyl derivatives of 2-amino-4-hydroxypteridines: A method of identification. Analytical Biochemistry. 37(2). 285–292. 9 indexed citations
14.
Haug, Pat, Heinrich K. Schnoes, & Alma L. Burlingame. (1968). Aromatic carbozylic acids isolated from the Colorado Green River Formation (Eocene). Geochimica et Cosmochimica Acta. 32(3). 358–361. 15 indexed citations
15.
Haug, Pat, Heinrich K. Schnoes, & Alma L. Burlingame. (1967). Keto-carboxylic acids isolated from the Colorado Green River shale (Eocene). Chemical Communications (London). 1130–1130. 8 indexed citations
16.
Haug, Pat, Heinrich K. Schnoes, & Alma L. Burlingame. (1967). Isoprenoid and Dicarboxylic Acids Isolated from Colorado Green River Shale (Eocene). Science. 158(3802). 772–773. 45 indexed citations
17.
Johns, R.B., T. Belsky, Edward D. McCarthy, et al.. (1966). The organic geochemistry of ancient sediments—Part II. Geochimica et Cosmochimica Acta. 30(12). 1191–1222. 5 indexed citations
18.
Burlingame, Alma L., et al.. (1965). OCCURRENCE OF BIOGENIC STERANES AND PENTACYCLIC TRITERPANES IN AN EOCENE SHALE (60 MILLION \nYEARS) AND IN AN EARLY PRECAMBRIAN SHALE (2.7 BILLION YEARS): A PRELIMINARY REPORT. NASA Technical Reports Server (NASA). 61 indexed citations
19.
Burlingame, A. L., et al.. (1965). OCCURRENCE OF BIOGENIC STERANES AND PENTACYCLIC TRITERPANES IN AN EOCENE SHALE (52 MILLION YEARS) AND IN AN EARLY PRECAMBRIAN SHALE (2.7 BILLION YEARS): A PRELIMINARY REPORT. Proceedings of the National Academy of Sciences. 54(5). 1406–1412. 1 indexed citations
20.
Closson, W. D. & Pat Haug. (1964). The Effects of Solvent and Structure on the Low Intensity (n → π*) Electronic Transition of Carboxylate Esters. Journal of the American Chemical Society. 86(12). 2384–2389. 33 indexed citations

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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