Mark Humphrey

1.8k total citations
10 papers, 1.5k citations indexed

About

Mark Humphrey is a scholar working on Oncology, Molecular Biology and Spectroscopy. According to data from OpenAlex, Mark Humphrey has authored 10 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Spectroscopy. Recurrent topics in Mark Humphrey's work include Advanced Proteomics Techniques and Applications (3 papers), Peptidase Inhibition and Analysis (2 papers) and Immunotherapy and Immune Responses (2 papers). Mark Humphrey is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Peptidase Inhibition and Analysis (2 papers) and Immunotherapy and Immune Responses (2 papers). Mark Humphrey collaborates with scholars based in United States and South Korea. Mark Humphrey's co-authors include Nadim Jessani, Benjamin F. Cravatt, Alan Saghatelian, Yongsheng Liu, John R. Yates, Sherry Niessen, András Ladányi, Nicole H. Lazarus, Jorge J. Nieva and Peter Kühn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Methods and Cancer Research.

In The Last Decade

Mark Humphrey

10 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Humphrey United States	9	835	606	332	331	235	10	1.5k
Michael Ohlmeyer United States	22	1.6k 1.9×	294 0.5×	261 0.8×	140 0.4×	97 0.4×	51	1.9k
Balyn W. Zaro United States	21	1.4k 1.7×	488 0.8×	709 2.1×	153 0.5×	74 0.3×	38	2.4k
Darrin D. Stuart United States	25	1.7k 2.1×	819 1.4×	169 0.5×	241 0.7×	64 0.3×	50	2.3k
Jeong Heon Ko South Korea	20	1.2k 1.4×	371 0.6×	192 0.6×	171 0.5×	125 0.5×	41	1.6k
Katherine R. Kozak United States	24	965 1.2×	760 1.3×	111 0.3×	287 0.9×	258 1.1×	39	2.0k
Gustavo R. Rosania United States	16	978 1.2×	179 0.3×	318 1.0×	235 0.7×	72 0.3×	18	1.4k
Gillian Paine-Murrieta United States	16	1.4k 1.7×	323 0.5×	137 0.4×	545 1.6×	43 0.2×	18	2.1k
Jack H. Lai United States	19	1.1k 1.4×	607 1.0×	207 0.6×	260 0.8×	88 0.4×	34	1.7k
J A Double United Kingdom	15	821 1.0×	523 0.9×	191 0.6×	374 1.1×	23 0.1×	29	1.7k
K. Ulrich Wendt Germany	18	662 0.8×	246 0.4×	167 0.5×	271 0.8×	62 0.3×	29	1.0k

Countries citing papers authored by Mark Humphrey

Since Specialization

Citations

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

Fields of papers citing papers by Mark Humphrey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Humphrey

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Humphrey. A scholar is included among the top collaborators of Mark Humphrey 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 Mark Humphrey. Mark Humphrey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Ling, Lei, Mei Zhou, Hong Yang, et al.. (2015). P0933 : NGM282 exhibits potent anti-inflammatory and anti-fibrotic activity in FXR-null mice with non-alcoholic steatohepatitis (NASH) histopathology. Journal of Hepatology. 62. S694–S695. 1 indexed citations

Zhou, Mei, Xueyan Wang, Phùng Văn Trung, et al.. (2014). Separating Tumorigenicity from Bile Acid Regulatory Activity for Endocrine Hormone FGF19. Cancer Research. 74(12). 3306–3316. 153 indexed citations

Marrinucci, Dena, Kelly Bethel, Richard H. Bruce, et al.. (2006). Case study of the morphologic variation of circulating tumor cells. Human Pathology. 38(3). 514–519. 126 indexed citations

Hsieh, Huangpin B., Dena Marrinucci, Kelly Bethel, et al.. (2006). High speed detection of circulating tumor cells. Biosensors and Bioelectronics. 21(10). 1893–1899. 136 indexed citations

Jessani, Nadim, Sherry Niessen, BinQing Wei, et al.. (2005). A streamlined platform for high-content functional proteomics of primary human specimens. Nature Methods. 2(9). 691–697. 203 indexed citations

Jessani, Nadim, Mark Humphrey, W. Hayes McDonald, et al.. (2004). Carcinoma and stromal enzyme activity profiles associated with breast tumor growth in vivo. Proceedings of the National Academy of Sciences. 101(38). 13756–13761. 157 indexed citations

Saghatelian, Alan, et al.. (2004). Activity-based probes for the proteomic profiling of metalloproteases. Proceedings of the National Academy of Sciences. 101(27). 10000–10005. 369 indexed citations

Jessani, Nadim, Yongsheng Liu, Mark Humphrey, & Benjamin F. Cravatt. (2002). Enzyme activity profiles of the secreted and membrane proteome that depict cancer cell invasiveness. Proceedings of the National Academy of Sciences. 99(16). 10335–10340. 292 indexed citations

Reiss, Craig K., et al.. (1983). The role of the regional lymph node in breast cancer: A comparison between nodal and systemic reactivity. Journal of Surgical Oncology. 22(4). 249–253. 20 indexed citations

10.

Humphrey, Loren J., et al.. (1981). Immunologic Responsiveness of Patients with Cancer. Annals of Surgery. 193(5). 574–578. 20 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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