Flora A. Mulkey

2.4k citations
37 papers · 1.9k · h-index 19

Impact in

Papers in

    • Acute Myeloid Leukemia Research 5
    • Multiple Myeloma Research and Treatments 4
    • Cancer Treatment and Pharmacology 5
    • Cancer Immunotherapy and Biomarkers 5

Flora A. Mulkey

34 papers receiving 1.8k citations

Peers

Flora A. Mulkey
Comparison fields: 5 of 100
  • Complementary and Manual Therapy 428
  • Hematology 421
  • Oncology 476
  • Physiology 224
  • Neurology 118
Replace Dietmar Geissler with:
Dietmar Geissler Austria
Li Yin Sweden
Sławomir Jeka Poland
Martin Weger Austria
Danielle Awad United States
Laura Masi Italy
Bassam Ibrahim Mattar United States
Won Tae Chung South Korea
Renee J. Perdok United States
Iftekhar Khan United Kingdom
Flora A. Mulkey relative to Dietmar Geissler Austria Dietmar Geissler's profile →
Citations per field
00.5×20×40×53.5×
Dietmar Geissler · 1×
Citations per year

Countries citing papers authored by Flora A. Mulkey

Since Specialization
Citations

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

Fields of papers citing papers by Flora A. Mulkey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011295
2 2011170
3 2018138
4 2015137
5 2011136
6 2018131
7 201196
8 202092
9 202082
10 201380
11 202066
12 201650
13 201547
14 202147
15 201645
16 202031
17 201428
18 201520
19 202119
20 201317

About Flora A. Mulkey

Flora A. Mulkey is a scholar working on Hematology, Oncology, Statistics and Probability, Complementary and Manual Therapy and Cancer Research, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (6 papers), Cancer Treatment and Pharmacology (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Acute Myeloid Leukemia Research (5 papers), Cancer Genomics and Diagnostics (4 papers), Temporomandibular Joint Disorders (4 papers), Multiple Myeloma Research and Treatments (4 papers) and Acute Lymphoblastic Leukemia research (3 papers). The work is most often cited by research in Complementary and Manual Therapy (428 citations), Hematology (421 citations), Oncology (476 citations), Physiology (224 citations) and Neurology (118 citations). Flora A. Mulkey has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Rajeshwari Sridhara, Joel D. Greenspan, Roger Benton Fillingim, Richard K. Ohrbach, William D. Maixner, Sirisha L. Mushti, Gary Douglas Slade, Charles E. Knott, Eric Bair and Richard M. Pazdur. Their work appears in journals such as Clinical Cancer Research, Journal of Pain, Journal of Clinical Oncology, Blood and American Journal of Hematology.

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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